Unnamed: 0 int64 0 41k | title stringlengths 4 274 | category stringlengths 5 18 | summary stringlengths 22 3.66k | theme stringclasses 8
values |
|---|---|---|---|---|
37,107 | Simulating user learning in authoritative technology adoption: An agent
based model for council-led smart meter deployment planning in the UK | cs.AI | How do technology users effectively transit from having zero knowledge about
a technology to making the best use of it after an authoritative technology
adoption? This post-adoption user learning has received little research
attention in technology management literature. In this paper we investigate
user learning in au... | computer science |
37,108 | Modelling Office Energy Consumption: An Agent Based Approach | cs.AI | In this paper, we develop an agent-based model which integrates four
important elements, i.e. organisational energy management policies/regulations,
energy management technologies, electric appliances and equipment, and human
behaviour, based on a case study, to simulate the energy consumption in office
buildings. With... | computer science |
37,109 | Meta-Prod2Vec - Product Embeddings Using Side-Information for
Recommendation | cs.IR | We propose Meta-Prod2vec, a novel method to compute item similarities for
recommendation that leverages existing item metadata. Such scenarios are
frequently encountered in applications such as content recommendation, ad
targeting and web search. Our method leverages past user interactions with
items and their attribut... | computer science |
37,110 | Symbols of a cosmic order | cs.AI | The world runs on communicated sequences of symbols, e.g. numerals. Examining
both engineered and natural communications networks reveals an unsuspected
order that depends on contact with an unpredictable entity. This order has
three roots. The first is a proof within quantum theory that no evidence can
ever determine ... | computer science |
37,111 | Behavior and path planning for the coalition of cognitive robots in
smart relocation tasks | cs.AI | In this paper we outline the approach of solving special type of navigation
tasks for robotic systems, when a coalition of robots (agents) acts in the 2D
environment, which can be modified by the actions, and share the same goal
location. The latter is originally unreachable for some members of the
coalition, but the c... | computer science |
37,112 | Assisting Drivers During Overtaking Using Car-2-Car Communication and
Multi-Agent Systems | cs.AI | A warning system for assisting drivers during overtaking maneuvers is
proposed. The system relies on Car-2-Car communication technologies and
multi-agent systems. A protocol for safety overtaking is proposed based on ACL
communicative acts. The mathematical model for safety overtaking used Kalman
filter to minimize loc... | computer science |
37,113 | Automatically Reinforcing a Game AI | cs.AI | A recent research trend in Artificial Intelligence (AI) is the combination of
several programs into one single, stronger, program; this is termed portfolio
methods. We here investigate the application of such methods to Game Playing
Programs (GPPs). In addition, we consider the case in which only one GPP is
available -... | computer science |
37,114 | A DEMATEL-Based Completion Method for Incomplete Pairwise Comparison
Matrix in AHP | math.OC | Pairwise comparison matrix as a crucial component of AHP, presents the
prefer- ence relations among alternatives. However, in many cases, the pairwise
comparison matrix is difficult to complete, which obstructs the subsequent
operations of the clas- sical AHP. In this paper, based on DEMATEL which has
ability to derive... | computer science |
37,115 | N-opcode Analysis for Android Malware Classification and Categorization | cs.CR | Malware detection is a growing problem particularly on the Android mobile
platform due to its increasing popularity and accessibility to numerous third
party app markets. This has also been made worse by the increasingly
sophisticated detection avoidance techniques employed by emerging malware
families. This calls for ... | computer science |
37,116 | Android Malware Detection Using Parallel Machine Learning Classifiers | cs.CR | Mobile malware has continued to grow at an alarming rate despite on-going
efforts towards mitigating the problem. This has been particularly noticeable
on Android due to its being an open platform that has subsequently overtaken
other platforms in the share of the mobile smart devices market. Hence,
incentivizing a new... | computer science |
37,117 | Robust Contextual Outlier Detection: Where Context Meets Sparsity | cs.DB | Outlier detection is a fundamental data science task with applications
ranging from data cleaning to network security. Given the fundamental nature of
the task, this has been the subject of much research. Recently, a new class of
outlier detection algorithms has emerged, called {\it contextual outlier
detection}, and h... | computer science |
37,118 | MIST: Missing Person Intelligence Synthesis Toolkit | cs.AI | Each day, approximately 500 missing persons cases occur that go
unsolved/unresolved in the United States. The non-profit organization known as
the Find Me Group (FMG), led by former law enforcement professionals, is
dedicated to solving or resolving these cases. This paper introduces the
Missing Person Intelligence Syn... | computer science |
37,119 | Semi-supervised evidential label propagation algorithm for graph data | cs.SI | In the task of community detection, there often exists some useful prior
information. In this paper, a Semi-supervised clustering approach using a new
Evidential Label Propagation strategy (SELP) is proposed to incorporate the
domain knowledge into the community detection model. The main advantage of SELP
is that it ca... | computer science |
37,120 | A Web-based Tool for Identifying Strategic Intervention Points in
Complex Systems | cs.SY | Steering a complex system towards a desired outcome is a challenging task.
The lack of clarity on the system's exact architecture and the often scarce
scientific data upon which to base the operationalisation of the dynamic rules
that underpin the interactions between participant entities are two
contributing factors. ... | computer science |
37,121 | A Novel Approach for Data-Driven Automatic Site Recommendation and
Selection | cs.AI | This paper presents a novel, generic, and automatic method for data-driven
site selection. Site selection is one of the most crucial and important
decisions made by any company. Such a decision depends on various factors of
sites, including socio-economic, geographical, ecological, as well as specific
requirements of c... | computer science |
37,122 | Paraconsistency and Word Puzzles | cs.AI | Word puzzles and the problem of their representations in logic languages have
received considerable attention in the last decade (Ponnuru et al. 2004;
Shapiro 2011; Baral and Dzifcak 2012; Schwitter 2013). Of special interest is
the problem of generating such representations directly from natural language
(NL) or contr... | computer science |
37,123 | Stable Models for Infinitary Formulas with Extensional Atoms | cs.LO | The definition of stable models for propositional formulas with infinite
conjunctions and disjunctions can be used to describe the semantics of answer
set programming languages. In this note, we enhance that definition by
introducing a distinction between intensional and extensional atoms. The
symmetric splitting theor... | computer science |
37,124 | Self-Organising Maps in Computer Security | cs.AI | Some argue that biologically inspired algorithms are the future of solving
difficult problems in computer science. Others strongly believe that the future
lies in the exploration of mathematical foundations of problems at hand. The
field of computer security tends to accept the latter view as a more
appropriate approac... | computer science |
37,125 | A Polynomial-Time Deterministic Approach to the Traveling Salesperson
Problem | cs.DS | We propose a new polynomial-time deterministic algorithm that produces an
approximated solution for the traveling salesperson problem. The proposed
algorithm ranks cities based on their priorities calculated using a power
function of means and standard deviations of their distances from other cities
and then connects t... | computer science |
37,126 | The Power of Non-Ground Rules in Answer Set Programming | cs.AI | Answer set programming (ASP) is a well-established logic programming language
that offers an intuitive, declarative syntax for problem solving. In its
traditional application, a fixed ASP program for a given problem is designed
and the actual instance of the problem is fed into the program as a set of
facts. This appro... | computer science |
37,127 | COREALMLIB: An ALM Library Translated from the Component Library | cs.AI | This paper presents COREALMLIB, an ALM library of commonsense knowledge about
dynamic domains. The library was obtained by translating part of the COMPONENT
LIBRARY (CLIB) into the modular action language ALM. CLIB consists of general
reusable and composable commonsense concepts, selected based on a thorough
study of o... | computer science |
37,128 | Spacetimes with Semantics (III) - The Structure of Functional Knowledge
Representation and Artificial Reasoning | cs.AI | Using the previously developed concepts of semantic spacetime, I explore the
interpretation of knowledge representations, and their structure, as a semantic
system, within the framework of promise theory. By assigning interpretations to
phenomena, from observers to observed, we may approach a simple description of
know... | computer science |
37,129 | Complexity Results for Manipulation, Bribery and Control of the Kemeny
Procedure in Judgment Aggregation | cs.AI | We study the computational complexity of several scenarios of strategic
behavior for the Kemeny procedure in the setting of judgment aggregation. In
particular, we investigate (1) manipulation, where an individual aims to
achieve a better group outcome by reporting an insincere individual opinion,
(2) bribery, where an... | computer science |
37,130 | Holophrasm: a neural Automated Theorem Prover for higher-order logic | cs.AI | I propose a system for Automated Theorem Proving in higher order logic using
deep learning and eschewing hand-constructed features. Holophrasm exploits the
formalism of the Metamath language and explores partial proof trees using a
neural-network-augmented bandit algorithm and a sequence-to-sequence model for
action en... | computer science |
37,131 | Liftago On-Demand Transport Dataset and Market Formation Algorithm Based
on Machine Learning | cs.AI | This document serves as a technical report for the analysis of on-demand
transport dataset. Moreover we show how the dataset can be used to develop a
market formation algorithm based on machine learning. Data used in this work
comes from Liftago, a Prague based company which connects taxi drivers and
customers through ... | computer science |
37,132 | Learning Mobile App Usage Routine through Learning Automata | cs.AI | Since its conception, smart app market has grown exponentially. Success in
the app market depends on many factors among which the quality of the app is a
significant contributor, such as energy use. Nevertheless, smartphones, as a
subset of mobile computing devices. inherit the limited power resource
constraint. Theref... | computer science |
37,133 | Inferring unknown biological function by integration of GO annotations
and gene expression data | cs.AI | Characterizing genes with semantic information is an important process
regarding the description of gene products. In spite that complete genomes of
many organisms have been already sequenced, the biological functions of all of
their genes are still unknown. Since experimentally studying the functions of
those genes, o... | computer science |
37,134 | Traversing Environments Using Possibility Graphs for Humanoid Robots | cs.RO | Locomotion for legged robots poses considerable challenges when confronted by
obstacles and adverse environments. Footstep planners are typically only
designed for one mode of locomotion, but traversing unfavorable environments
may require several forms of locomotion to be sequenced together, such as
walking, crawling,... | computer science |
37,135 | Multi-way Monte Carlo Method for Linear Systems | cs.NA | We study the Monte Carlo method for solving a linear system of the form $x =
H x + b$. A sufficient condition for the method to work is $\| H \| < 1$, which
greatly limits the usability of this method. We improve this condition by
proposing a new multi-way Markov random walk, which is a generalization of the
standard M... | computer science |
37,136 | Free Lunch for Optimisation under the Universal Distribution | math.OC | Function optimisation is a major challenge in computer science. The No Free
Lunch theorems state that if all functions with the same histogram are assumed
to be equally probable then no algorithm outperforms any other in expectation.
We argue against the uniform assumption and suggest a universal prior exists
for which... | computer science |
37,137 | Evaluating Causal Models by Comparing Interventional Distributions | cs.AI | The predominant method for evaluating the quality of causal models is to
measure the graphical accuracy of the learned model structure. We present an
alternative method for evaluating causal models that directly measures the
accuracy of estimated interventional distributions. We contrast such
distributional measures wi... | computer science |
37,138 | Accelerating Exact and Approximate Inference for (Distributed) Discrete
Optimization with GPUs | cs.AI | Discrete optimization is a central problem in artificial intelligence. The
optimization of the aggregated cost of a network of cost functions arises in a
variety of problems including (W)CSP, DCOP, as well as optimization in
stochastic variants such as the tasks of finding the most probable explanation
(MPE) in belief ... | computer science |
37,139 | A heuristic scheme for the Cooperative Team Orienteering Problem with
Time Windows | cs.AI | The Cooperative Orienteering Problem with Time Windows (COPTW)is a class of
problems with some important applications and yet has received relatively
little attention. In the COPTW a certain number of team members are required to
collect the associated reward from each customer simultaneously and
cooperatively. This re... | computer science |
37,140 | Pilot Testing an Artificial Intelligence Algorithm That Selects Homeless
Youth Peer Leaders Who Promote HIV Testing | cs.AI | Objective. To pilot test an artificial intelligence (AI) algorithm that
selects peer change agents (PCA) to disseminate HIV testing messaging in a
population of homeless youth. Methods. We recruited and assessed 62 youth at
baseline, 1 month (n = 48), and 3 months (n = 38). A Facebook app collected
preliminary social n... | computer science |
37,141 | Inference in Probabilistic Logic Programs using Lifted Explanations | cs.AI | In this paper, we consider the problem of lifted inference in the context of
Prism-like probabilistic logic programming languages. Traditional inference in
such languages involves the construction of an explanation graph for the query
and computing probabilities over this graph. When evaluating queries over
probabilist... | computer science |
37,142 | A Hybrid, PDE-ODE Control Strategy for Intercepting an Intelligent,
well-informed Target in a Stationary, Cluttered Environment | cs.RO | In [1,2] a new class of intelligent controllers that can semantically embed
an agent in a spatial context constraining its behavior in a goal-oriented
manner was suggested. A controller of such a class can guide an agent in a
stationary unknown environment to a fixed target zone along an obstacle-free
trajectory. Here,... | computer science |
37,143 | Phased Exploration with Greedy Exploitation in Stochastic Combinatorial
Partial Monitoring Games | cs.GT | Partial monitoring games are repeated games where the learner receives
feedback that might be different from adversary's move or even the reward
gained by the learner. Recently, a general model of combinatorial partial
monitoring (CPM) games was proposed \cite{lincombinatorial2014}, where the
learner's action space can... | computer science |
37,144 | Activity Networks with Delays An application to toxicity analysis | cs.AI | ANDy , Activity Networks with Delays, is a discrete time framework aimed at
the qualitative modelling of time-dependent activities. The modular and concise
syntax makes ANDy suitable for an easy and natural modelling of time-dependent
biological systems (i.e., regulatory pathways). Activities involve entities
playing t... | computer science |
37,145 | Partially Observable Markov Decision Process for Recommender Systems | cs.AI | We report the "Recurrent Deterioration" (RD) phenomenon observed in online
recommender systems. The RD phenomenon is reflected by the trend of performance
degradation when the recommendation model is always trained based on users'
feedbacks of the previous recommendations. There are several reasons for the
recommender ... | computer science |
37,146 | Causality and Responsibility for Formal Verification and Beyond | cs.SE | The theory of actual causality, defined by Halpern and Pearl, and its
quantitative measure - the degree of responsibility - was shown to be extremely
useful in various areas of computer science due to a good match between the
results it produces and our intuition. In this paper, I describe the
applications of causality... | computer science |
37,147 | Fuzzy Logic in Narrow Sense with Hedges | cs.AI | Classical logic has a serious limitation in that it cannot cope with the
issues of vagueness and uncertainty into which fall most modes of human
reasoning. In order to provide a foundation for human knowledge representation
and reasoning in the presence of vagueness, imprecision, and uncertainty, fuzzy
logic should hav... | computer science |
37,148 | Business Process Deviance Mining: Review and Evaluation | cs.AI | Business process deviance refers to the phenomenon whereby a subset of the
executions of a business process deviate, in a negative or positive way, with
respect to its expected or desirable outcomes. Deviant executions of a business
process include those that violate compliance rules, or executions that
undershoot or e... | computer science |
37,149 | Robust Energy Storage Scheduling for Imbalance Reduction of
Strategically Formed Energy Balancing Groups | cs.SY | Imbalance (on-line energy gap between contracted supply and actual demand,
and associated cost) reduction is going to be a crucial service for a Power
Producer and Supplier (PPS) in the deregulated energy market. PPS requires
forward market interactions to procure energy as precisely as possible in order
to reduce imba... | computer science |
37,150 | ALLSAT compressed with wildcards. Part 1: Converting CNF's to orthogonal
DNF's | cs.AI | For most branching algorithms in Boolean logic "branching" means
"variable-wise branching". We present the apparently novel technique of
clause-wise branching, which is used to solve the ALLSAT problem for arbitrary
Boolean functions in CNF format. Specifically, it converts a CNF into an
orthogonal DNF, i.e. into an ex... | computer science |
37,151 | Modelling Cyber-Security Experts' Decision Making Processes using
Aggregation Operators | cs.AI | An important role carried out by cyber-security experts is the assessment of
proposed computer systems, during their design stage. This task is fraught with
difficulties and uncertainty, making the knowledge provided by human experts
essential for successful assessment. Today, the increasing number of
progressively com... | computer science |
37,152 | Game-Theoretic Modeling of Driver and Vehicle Interactions for
Verification and Validation of Autonomous Vehicle Control Systems | cs.AI | Autonomous driving has been the subject of increased interest in recent years
both in industry and in academia. Serious efforts are being pursued to address
legal, technical and logistical problems and make autonomous cars a viable
option for everyday transportation. One significant challenge is the time and
effort req... | computer science |
37,153 | A Programming Language With a POMDP Inside | cs.AI | We present POAPS, a novel planning system for defining Partially Observable
Markov Decision Processes (POMDPs) that abstracts away from POMDP details for
the benefit of non-expert practitioners. POAPS includes an expressive adaptive
programming language based on Lisp that has constructs for choice points that
can be dy... | computer science |
37,154 | Binary Particle Swarm Optimization versus Hybrid Genetic Algorithm for
Inferring Well Supported Phylogenetic Trees | cs.AI | The amount of completely sequenced chloroplast genomes increases rapidly
every day, leading to the possibility to build large-scale phylogenetic trees
of plant species. Considering a subset of close plant species defined according
to their chloroplasts, the phylogenetic tree that can be inferred by their core
genes is ... | computer science |
37,155 | Knowledge Representation Analysis of Graph Mining | cs.LO | Many problems, especially those with a composite structure, can naturally be
expressed in higher order logic. From a KR perspective modeling these problems
in an intuitive way is a challenging task. In this paper we study the graph
mining problem as an example of a higher order problem. In short, this problem
asks us t... | computer science |
37,156 | Crowdsourcing with Unsure Option | cs.AI | One of the fundamental problems in crowdsourcing is the trade-off between the
number of the workers needed for high-accuracy aggregation and the budget to
pay. For saving budget, it is important to ensure high quality of the
crowd-sourced labels, hence the total cost on label collection will be reduced.
Since the self-... | computer science |
37,157 | OpenTripPlanner, OpenStreetMap, General Transit Feed Specification:
Tools for Disaster Relief and Recovery | cs.CY | Open Trip Planner was identified as the most promising open source
multi-modal trip planning software. Open Street Map, which provides mapping
data to Open Trip Planner, is one of the most well-known open source
international repository of geographic data. General Transit Feed
Specification, which provides transportati... | computer science |
37,158 | Non-Evolutionary Superintelligences Do Nothing, Eventually | cs.AI | There is overwhelming evidence that human intelligence is a product of
Darwinian evolution. Investigating the consequences of self-modification, and
more precisely, the consequences of utility function self-modification, leads
to the stronger claim that not only human, but any form of intelligence is
ultimately only po... | computer science |
37,159 | Equilibrium Graphs | cs.AI | In this paper we present an extension of Peirce's existential graphs to
provide a diagrammatic representation of expressions in Quantified Equilibrium
Logic (QEL). Using this formalisation, logical connectives are replaced by
encircled regions (circles and squares) and quantified variables are
represented as "identity"... | computer science |
37,160 | Ms. Pac-Man Versus Ghost Team CIG 2016 Competition | cs.AI | This paper introduces the revival of the popular Ms. Pac-Man Versus Ghost
Team competition. We present an updated game engine with Partial Observability
constraints, a new Multi-Agent Systems approach to developing Ghost agents and
several sample controllers to ease the development of entries. A restricted
communicatio... | computer science |
37,161 | Latest Datasets and Technologies Presented in the Workshop on Grasping
and Manipulation Datasets | cs.RO | This paper reports the activities and outcomes in the Workshop on Grasping
and Manipulation Datasets that was organized under the International Conference
on Robotics and Automation (ICRA) 2016. The half day workshop was packed with
nine invited talks, 12 interactive presentations, and one panel discussion with
ten pan... | computer science |
37,162 | Measuring Player's Behaviour Change over Time in Public Goods Game | cs.AI | An important issue in public goods game is whether player's behaviour changes
over time, and if so, how significant it is. In this game players can be
classified into different groups according to the level of their participation
in the public good. This problem can be considered as a concept drift problem
by asking th... | computer science |
37,163 | A centralized reinforcement learning method for multi-agent job
scheduling in Grid | cs.DC | One of the main challenges in Grid systems is designing an adaptive,
scalable, and model-independent method for job scheduling to achieve a
desirable degree of load balancing and system efficiency. Centralized job
scheduling methods have some drawbacks, such as single point of failure and
lack of scalability. Moreover,... | computer science |
37,164 | Reduced Space and Faster Convergence in Imperfect-Information Games via
Regret-Based Pruning | cs.GT | Counterfactual Regret Minimization (CFR) is the most popular iterative
algorithm for solving zero-sum imperfect-information games. Regret-Based
Pruning (RBP) is an improvement that allows poorly-performing actions to be
temporarily pruned, thus speeding up CFR. We introduce Total RBP, a new form of
RBP that reduces the... | computer science |
37,165 | Reactive Multi-Context Systems: Heterogeneous Reasoning in Dynamic
Environments | cs.LO | Managed multi-context systems (mMCSs) allow for the integration of
heterogeneous knowledge sources in a modular and very general way. They were,
however, mainly designed for static scenarios and are therefore not well-suited
for dynamic environments in which continuous reasoning over such heterogeneous
knowledge with c... | computer science |
37,166 | A Generic Bet-and-run Strategy for Speeding Up Traveling Salesperson and
Minimum Vertex Cover | cs.AI | A common strategy for improving optimization algorithms is to restart the
algorithm when it is believed to be trapped in an inferior part of the search
space. However, while specific restart strategies have been developed for
specific problems (and specific algorithms), restarts are typically not
regarded as a general ... | computer science |
37,167 | Finite LTL Synthesis is EXPTIME-complete | cs.LO | LTL synthesis -- the construction of a function to satisfy a logical
specification formulated in Linear Temporal Logic -- is a 2EXPTIME-complete
problem with relevant applications in controller synthesis and a myriad of
artificial intelligence applications. In this research note we consider De
Giacomo and Vardi's varia... | computer science |
37,168 | Style Imitation and Chord Invention in Polyphonic Music with Exponential
Families | cs.AI | Modeling polyphonic music is a particularly challenging task because of the
intricate interplay between melody and harmony. A good model should satisfy
three requirements: statistical accuracy (capturing faithfully the statistics
of correlations at various ranges, horizontally and vertically), flexibility
(coping with ... | computer science |
37,169 | Continuous occurrence theory | cs.AI | Usually gradual and continuous changes in entities will lead to appear
events. But usually it is supposed that an event is occurred at once. In this
research an integrated framework called continuous occurrence theory (COT) is
presented to investigate respective path leading to occurrence of the events in
the real worl... | computer science |
37,170 | NPCs Vote! Changing Voter Reactions Over Time Using the Extreme AI
Personality Engine | cs.AI | Can non-player characters have human-realistic personalities, changing over
time depending on input from those around them? And can they have different
reactions and thoughts about different people? Using Extreme AI, a
psychology-based personality engine using the Five Factor model of personality,
I answer these questi... | computer science |
37,171 | Solving the Wastewater Treatment Plant Problem with SMT | cs.AI | In this paper we introduce the Wastewater Treatment Plant Problem, a
real-world scheduling problem, and compare the performance of several tools on
it. We show that, for a naive modeling, state-of-the-art SMT solvers outperform
other tools ranging from mathematical programming to constraint programming. We
use both rea... | computer science |
37,172 | Applications of Data Mining (DM) in Science and Engineering: State of
the art and perspectives | cs.AI | The continuous increase in the availability of data of any kind, coupled with
the development of networks of high-speed communications, the popularization of
cloud computing and the growth of data centers and the emergence of
high-performance computing does essential the task to develop techniques that
allow more effic... | computer science |
37,173 | Extending Unification in $\mathcal{EL}$ to Disunification: The Case of
Dismatching and Local Disunification | cs.LO | Unification in Description Logics has been introduced as a means to detect
redundancies in ontologies. We try to extend the known decidability results for
unification in the Description Logic $\mathcal{EL}$ to disunification since
negative constraints can be used to avoid unwanted unifiers. While decidability
of the so... | computer science |
37,174 | Context-aware Sequential Recommendation | cs.IR | Since sequential information plays an important role in modeling user
behaviors, various sequential recommendation methods have been proposed.
Methods based on Markov assumption are widely-used, but independently combine
several most recent components. Recently, Recurrent Neural Networks (RNN) based
methods have been s... | computer science |
37,175 | Temporal Logic Programs with Variables | cs.AI | In this note we consider the problem of introducing variables in temporal
logic programs under the formalism of "Temporal Equilibrium Logic" (TEL), an
extension of Answer Set Programming (ASP) for dealing with linear-time modal
operators. To this aim, we provide a definition of a first-order version of TEL
that shares ... | computer science |
37,176 | Scope for Machine Learning in Digital Manufacturing | cs.AI | This provocation paper provides an overview of the underlying optimisation
problem in the emerging field of Digital Manufacturing. Initially, this paper
discusses how the notion of Digital Manufacturing is transforming from a term
describing a suite of software tools for the integration of production and
design functio... | computer science |
37,177 | On the Phase Transition of Finding a Biclique in a larger Bipartite
Graph | cs.AI | We report on the phase transition of finding a complete subgraph, of
specified dimensions, in a bipartite graph. Finding a complete subgraph in a
bipartite graph is a problem that has growing attention in several domains,
including bioinformatics, social network analysis and domain clustering. A key
step for a successf... | computer science |
37,178 | Macro-optimization of email recommendation response rates harnessing
individual activity levels and group affinity trends | cs.AI | Recommendation emails are among the best ways to re-engage with customers
after they have left a website. While on-site recommendation systems focus on
finding the most relevant items for a user at the moment (right item), email
recommendations add two critical additional dimensions: who to send
recommendations to (rig... | computer science |
37,179 | An Efficient Method of Partitioning High Volumes of Multidimensional
Data for Parallel Clustering Algorithms | cs.AI | An optimal data partitioning in parallel & distributed implementation of
clustering algorithms is a necessary computation as it ensures independent task
completion, fair distribution, less number of affected points and better &
faster merging. Though partitioning using Kd Tree is being conventionally used
in academia, ... | computer science |
37,180 | An Ensemble Blocking Scheme for Entity Resolution of Large and Sparse
Datasets | cs.AI | Entity Resolution, also called record linkage or deduplication, refers to the
process of identifying and merging duplicate versions of the same entity into a
unified representation. The standard practice is to use a Rule based or Machine
Learning based model that compares entity pairs and assigns a score to
represent t... | computer science |
37,181 | Testing Quantum Models of Conjunction Fallacy on the World Wide Web | cs.AI | The 'conjunction fallacy' has been extensively debated by scholars in
cognitive science and, in recent times, the discussion has been enriched by the
proposal of modeling the fallacy using the quantum formalism. Two major quantum
approaches have been put forward: the first assumes that respondents use a
two-step sequen... | computer science |
37,182 | Top-N Recommendation on Graphs | cs.IR | Recommender systems play an increasingly important role in online
applications to help users find what they need or prefer. Collaborative
filtering algorithms that generate predictions by analyzing the user-item
rating matrix perform poorly when the matrix is sparse. To alleviate this
problem, this paper proposes a sim... | computer science |
37,183 | ICE: Information Credibility Evaluation on Social Media via
Representation Learning | cs.SI | With the rapid growth of social media, rumors are also spreading widely on
social media and bring harm to people's daily life. Nowadays, information
credibility evaluation has drawn attention from academic and industrial
communities. Current methods mainly focus on feature engineering and achieve
some success. However,... | computer science |
37,184 | Technical Report: Graph-Structured Sparse Optimization for Connected
Subgraph Detection | cs.AI | Structured sparse optimization is an important and challenging problem for
analyzing high-dimensional data in a variety of applications such as
bioinformatics, medical imaging, social networks, and astronomy. Although a
number of structured sparsity models have been explored, such as trees, groups,
clusters, and paths,... | computer science |
37,185 | Bacterial Foraging Optimized STATCOM for Stability Assessment in Power
System | cs.SY | This paper presents a study of improvement in stability in a single machine
connected to infinite bus (SMIB) power system by using static compensator
(STATCOM). The gains of Proportional-Integral-Derivative (PID) controller in
STATCOM are being optimized by heuristic technique based on Particle swarm
optimization (PSO)... | computer science |
37,186 | Consistency Ensuring in Social Web Services Based on Commitments
Structure | cs.SI | Web Service is one of the most significant current discussions in information
sharing technologies and one of the examples of service oriented processing. To
ensure accurate execution of web services operations, it must be adaptable with
policies of the social networks in which it signs up. This adaptation
implements u... | computer science |
37,187 | A Constraint-Handling Technique for Genetic Algorithms using a Violation
Factor | cs.AI | Over the years, several meta-heuristic algorithms were proposed and are now
emerging as common methods for constrained optimization problems. Among them,
genetic algorithms (GA's) shine as popular evolutionary algorithms (EA's) in
engineering optimization. Most engineering design problems are difficult to
resolve with ... | computer science |
37,188 | DeepAlgebra - an outline of a program | cs.AI | We outline a program in the area of formalization of mathematics to automate
theorem proving in algebra and algebraic geometry. We propose a construction of
a dictionary between automated theorem provers and (La)TeX exploiting syntactic
parsers. We describe its application to a repository of human-written facts and
def... | computer science |
37,189 | Seer: Empowering Software Defined Networking with Data Analytics | cs.NI | Network complexity is increasing, making network control and orchestration a
challenging task. The proliferation of network information and tools for data
analytics can provide an important insight into resource provisioning and
optimisation. The network knowledge incorporated in software defined networking
can facilit... | computer science |
37,190 | Towards Cognitive Exploration through Deep Reinforcement Learning for
Mobile Robots | cs.RO | Exploration in an unknown environment is the core functionality for mobile
robots. Learning-based exploration methods, including convolutional neural
networks, provide excellent strategies without human-designed logic for the
feature extraction. But the conventional supervised learning algorithms cost
lots of efforts o... | computer science |
37,191 | Parallel Large-Scale Attribute Reduction on Cloud Systems | cs.DC | The rapid growth of emerging information technologies and application
patterns in modern society, e.g., Internet, Internet of Things, Cloud Computing
and Tri-network Convergence, has caused the advent of the era of big data. Big
data contains huge values, however, mining knowledge from big data is a
tremendously challe... | computer science |
37,192 | DeepDGA: Adversarially-Tuned Domain Generation and Detection | cs.CR | Many malware families utilize domain generation algorithms (DGAs) to
establish command and control (C&C) connections. While there are many methods
to pseudorandomly generate domains, we focus in this paper on detecting (and
generating) domains on a per-domain basis which provides a simple and flexible
means to detect k... | computer science |
37,193 | Application of Ontologies in Cloud Computing: The State-Of-The-Art | cs.DC | This paper presents a systematic survey on existing literature and seminal
works relevant to the application of ontologies in different aspects of Cloud
computing. Our hypothesis is that ontologies along with their reasoning
capabilities can have significant impact on improving various aspects of the
Cloud computing ph... | computer science |
37,194 | Towards an Ontology-Driven Blockchain Design for Supply Chain Provenance | cs.CY | An interesting research problem in our age of Big Data is that of determining
provenance. Granular evaluation of provenance of physical goods--e.g. tracking
ingredients of a pharmaceutical or demonstrating authenticity of luxury
goods--has often not been possible with today's items that are produced and
transported in ... | computer science |
37,195 | PCG-Based Game Design Patterns | cs.AI | People enjoy encounters with generative software, but rarely are they
encouraged to interact with, understand or engage with it. In this paper we
define the term 'PCG-based game', and explain how this concept follows on from
the idea of an AI-based game. We look at existing examples of games which
foreground their AI, ... | computer science |
37,196 | Maximum entropy models for generation of expressive music | cs.AI | In the context of contemporary monophonic music, expression can be seen as
the difference between a musical performance and its symbolic representation,
i.e. a musical score. In this paper, we show how Maximum Entropy (MaxEnt)
models can be used to generate musical expression in order to mimic a human
performance. As a... | computer science |
37,197 | A Fuzzy Logic System to Analyze a Student's Lifestyle | cs.CY | A college student's life can be primarily categorized into domains such as
education, health, social and other activities which may include daily chores
and travelling time. Time management is crucial for every student. A self
realisation of one's daily time expenditure in various domains is therefore
essential to maxi... | computer science |
37,198 | Stream Reasoning-Based Control of Caching Strategies in CCN Routers | cs.AI | Content-Centric Networking (CCN) research addresses the mismatch between the
modern usage of the Internet and its outdated architecture. Importantly, CCN
routers may locally cache frequently requested content in order to speed up
delivery to end users. Thus, the issue of caching strategies arises, i.e.,
which content s... | computer science |
37,199 | Reset-free Trial-and-Error Learning for Robot Damage Recovery | cs.RO | The high probability of hardware failures prevents many advanced robots
(e.g., legged robots) from being confidently deployed in real-world situations
(e.g., post-disaster rescue). Instead of attempting to diagnose the failures,
robots could adapt by trial-and-error in order to be able to complete their
tasks. In this ... | computer science |
37,200 | Localization for Wireless Sensor Networks: A Neural Network Approach | cs.NI | As Wireless Sensor Networks are penetrating into the industrial domain, many
research opportunities are emerging. One such essential and challenging
application is that of node localization. A feed-forward neural network based
methodology is adopted in this paper. The Received Signal Strength Indicator
(RSSI) values of... | computer science |
37,201 | Efficient Rectangular Maximal-Volume Algorithm for Rating Elicitation in
Collaborative Filtering | cs.IR | Cold start problem in Collaborative Filtering can be solved by asking new
users to rate a small seed set of representative items or by asking
representative users to rate a new item. The question is how to build a seed
set that can give enough preference information for making good
recommendations. One of the most succ... | computer science |
37,202 | Fault Detection Engine in Intelligent Predictive Analytics Platform for
DCIM | cs.AI | With the advancement of huge data generation and data handling capability,
Machine Learning and Probabilistic modelling enables an immense opportunity to
employ predictive analytics platform in high security critical industries
namely data centers, electricity grids, utilities, airport etc. where downtime
minimization ... | computer science |
37,203 | Learning and Transfer of Modulated Locomotor Controllers | cs.RO | We study a novel architecture and training procedure for locomotion tasks. A
high-frequency, low-level "spinal" network with access to proprioceptive
sensors learns sensorimotor primitives by training on simple tasks. This
pre-trained module is fixed and connected to a low-frequency, high-level
"cortical" network, with... | computer science |
37,204 | Internet of Things Applications: Animal Monitoring with Unmanned Aerial
Vehicle | cs.AI | In animal monitoring applications, both animal detection and their movement
prediction are major tasks. While a variety of animal monitoring strategies
exist, most of them rely on mounting devices. However, in real world, it is
difficult to find these animals and install mounting devices. In this paper, we
propose an a... | computer science |
37,205 | Diagnosis of aerospace structure defects by a HPC implemented soft
computing algorithm | cs.AI | This study concerns with the diagnosis of aerospace structure defects by
applying a HPC parallel implementation of a novel learning algorithm, named
U-BRAIN. The Soft Computing approach allows advanced multi-parameter data
processing in composite materials testing. The HPC parallel implementation
overcomes the limits d... | computer science |
37,206 | Weighted Positive Binary Decision Diagrams for Exact Probabilistic
Inference | cs.AI | Recent work on weighted model counting has been very successfully applied to
the problem of probabilistic inference in Bayesian networks. The probability
distribution is encoded into a Boolean normal form and compiled to a target
language, in order to represent local structure expressed among conditional
probabilities ... | computer science |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.