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37,307 | A quantum dynamic belief model to explain the interference effects of
categorization on decision making | cs.AI | Categorization is necessary for many decision making tasks. However, the
categorization process may interfere the decision making result and the law of
total probability can be violated in some situations. To predict the
interference effect of categorization, some model based on quantum probability
has been proposed. I... | computer science |
37,308 | Learning Invariant Feature Spaces to Transfer Skills with Reinforcement
Learning | cs.AI | People can learn a wide range of tasks from their own experience, but can
also learn from observing other creatures. This can accelerate acquisition of
new skills even when the observed agent differs substantially from the learning
agent in terms of morphology. In this paper, we examine how reinforcement
learning algor... | computer science |
37,309 | Embedding Tarskian Semantics in Vector Spaces | cs.AI | We propose a new linear algebraic approach to the computation of Tarskian
semantics in logic. We embed a finite model M in first-order logic with N
entities in N-dimensional Euclidean space R^N by mapping entities of M to N
dimensional one-hot vectors and k-ary relations to order-k adjacency tensors
(multi-way arrays).... | computer science |
37,310 | Abductive, Causal, and Counterfactual Conditionals Under Incomplete
Probabilistic Knowledge | cs.AI | We study abductive, causal, and non-causal conditionals in indicative and
counterfactual formulations using probabilistic truth table tasks under
incomplete probabilistic knowledge (N = 80). We frame the task as a
probability-logical inference problem. The most frequently observed response
type across all conditions wa... | computer science |
37,311 | The Ontological Multidimensional Data Model | cs.DB | In this extended abstract we describe, mainly by examples, the main elements
of the Ontological Multidimensional Data Model, which considerably extends a
relational reconstruction of the multidimensional data model proposed by
Hurtado and Mendelzon by means of tuple-generating dependencies,
equality-generating dependen... | computer science |
37,312 | A Hierarchical Framework of Cloud Resource Allocation and Power
Management Using Deep Reinforcement Learning | cs.DC | Automatic decision-making approaches, such as reinforcement learning (RL),
have been applied to (partially) solve the resource allocation problem
adaptively in the cloud computing system. However, a complete cloud resource
allocation framework exhibits high dimensions in state and action spaces, which
prohibit the usef... | computer science |
37,313 | Fuzzy Model Tree For Early Effort Estimation | cs.SE | Use Case Points (UCP) is a well-known method to estimate the project size,
based on Use Case diagram, at early phases of software development. Although
the Use Case diagram is widely accepted as a de-facto model for analyzing
object oriented software requirements over the world, UCP method did not take
sufficient amoun... | computer science |
37,314 | Learning best K analogies from data distribution for case-based software
effort estimation | cs.SE | Case-Based Reasoning (CBR) has been widely used to generate good software
effort estimates. The predictive performance of CBR is a dataset dependent and
subject to extremely large space of configuration possibilities. Regardless of
the type of adaptation technique, deciding on the optimal number of similar
cases to be ... | computer science |
37,315 | Database Learning: Toward a Database that Becomes Smarter Every Time | cs.DB | In today's databases, previous query answers rarely benefit answering future
queries. For the first time, to the best of our knowledge, we change this
paradigm in an approximate query processing (AQP) context. We make the
following observation: the answer to each query reveals some degree of
knowledge about the answer ... | computer science |
37,316 | A Visual Web Tool to Perform What-If Analysis of Optimization Approaches | cs.AI | In Operation Research, practical evaluation is essential to validate the
efficacy of optimization approaches. This paper promotes the usage of
performance profiles as a standard practice to visualize and analyze
experimental results. It introduces a Web tool to construct and export
performance profiles as SVG or HTML f... | computer science |
37,317 | Generalised Reichenbachian Common Cause Systems | stat.OT | The principle of the common cause claims that if an improbable coincidence
has occurred, there must exist a common cause. This is generally taken to mean
that positive correlations between non-causally related events should disappear
when conditioning on the action of some underlying common cause. The extended
interpre... | computer science |
37,318 | Interest-Driven Discovery of Local Process Models | cs.DB | Local Process Models (LPM) describe structured fragments of process behavior
occurring in the context of less structured business processes. Traditional LPM
discovery aims to generate a collection of process models that describe highly
frequent behavior, but these models do not always provide useful answers for
questio... | computer science |
37,319 | Improving Statistical Multimedia Information Retrieval Model by using
Ontology | cs.IR | A typical IR system that delivers and stores information is affected by
problem of matching between user query and available content on web. Use of
Ontology represents the extracted terms in form of network graph consisting of
nodes, edges, index terms etc. The above mentioned IR approaches provide
relevance thus satis... | computer science |
37,320 | Ontology Based Pivoted normalization using Vector Based Approach for
information Retrieval | cs.IR | The proposed methodology is procedural i.e. it follows finite number of steps
that extracts relevant documents according to users query. It is based on
principles of Data Mining for analyzing web data. Data Mining first adapts
integration of data to generate warehouse. Then, it extracts useful information
with the help... | computer science |
37,321 | Semi-supervised Embedding in Attributed Networks with Outliers | cs.SI | In this paper, we propose a novel framework, called Semi-supervised Embedding
in Attributed Networks with Outliers (SEANO), to learn a low-dimensional vector
representation that systematically captures the topological proximity,
attribute affinity and label similarity of vertices in a partially labeled
attributed netwo... | computer science |
37,322 | Note Value Recognition for Piano Transcription Using Markov Random
Fields | cs.AI | This paper presents a statistical method for use in music transcription that
can estimate score times of note onsets and offsets from polyphonic MIDI
performance signals. Because performed note durations can deviate largely from
score-indicated values, previous methods had the problem of not being able to
accurately es... | computer science |
37,323 | Intelligent bidirectional rapidly-exploring random trees for optimal
motion planning in complex cluttered environments | cs.RO | The sampling based motion planning algorithm known as Rapidly-exploring
Random Trees (RRT) has gained the attention of many researchers due to their
computational efficiency and effectiveness. Recently, a variant of RRT called
RRT* has been proposed that ensures asymptotic optimality. Subsequently its
bidirectional ver... | computer science |
37,324 | Probabilistic Models for Computerized Adaptive Testing | cs.CY | In this paper we follow our previous research in the area of Computerized
Adaptive Testing (CAT). We present three different methods for CAT. One of
them, the item response theory, is a well established method, while the other
two, Bayesian and neural networks, are new in the area of educational testing.
In the first p... | computer science |
37,325 | Rational Choice and Artificial Intelligence | cs.AI | The theory of rational choice assumes that when people make decisions they do
so in order to maximize their utility. In order to achieve this goal they ought
to use all the information available and consider all the choices available to
choose an optimal choice. This paper investigates what happens when decisions
are m... | computer science |
37,326 | Bandit-Based Model Selection for Deformable Object Manipulation | cs.RO | We present a novel approach to deformable object manipulation that does not
rely on highly-accurate modeling. The key contribution of this paper is to
formulate the task as a Multi-Armed Bandit problem, with each arm representing
a model of the deformable object. To "pull" an arm and evaluate its utility, we
use the ar... | computer science |
37,327 | Evaluating Complex Task through Crowdsourcing: Multiple Views Approach | cs.AI | With the popularity of massive open online courses, grading through
crowdsourcing has become a prevalent approach towards large scale classes.
However, for getting grades for complex tasks, which require specific skills
and efforts for grading, crowdsourcing encounters a restriction of insufficient
knowledge of the wor... | computer science |
37,328 | MidiNet: A Convolutional Generative Adversarial Network for
Symbolic-domain Music Generation | cs.SD | Most existing neural network models for music generation use recurrent neural
networks. However, the recent WaveNet model proposed by DeepMind shows that
convolutional neural networks (CNNs) can also generate realistic musical
waveforms in the audio domain. Following this light, we investigate using CNNs
for generating... | computer science |
37,329 | EMULATOR vs REAL PHONE: Android Malware Detection Using Machine Learning | cs.CR | The Android operating system has become the most popular operating system for
smartphones and tablets leading to a rapid rise in malware. Sophisticated
Android malware employ detection avoidance techniques in order to hide their
malicious activities from analysis tools. These include a wide range of
anti-emulator techn... | computer science |
37,330 | Diversity of preferences can increase collective welfare in sequential
exploration problems | cs.AI | In search engines, online marketplaces and other human-computer interfaces
large collectives of individuals sequentially interact with numerous
alternatives of varying quality. In these contexts, trial and error
(exploration) is crucial for uncovering novel high-quality items or solutions,
but entails a high cost for i... | computer science |
37,331 | Ontological Multidimensional Data Models and Contextual Data Qality | cs.DB | Data quality assessment and data cleaning are context-dependent activities.
Motivated by this observation, we propose the Ontological Multidimensional Data
Model (OMD model), which can be used to model and represent contexts as
logic-based ontologies. The data under assessment is mapped into the context,
for additional... | computer science |
37,332 | Potential Functions based Sampling Heuristic For Optimal Path Planning | cs.RO | Rapidly-exploring Random Tree Star(RRT*) is a recently proposed extension of
Rapidly-exploring Random Tree (RRT) algorithm that provides a collision-free,
asymptotically optimal path regardless of obstacle's geometry in a given
environment. However, one of the limitations in the RRT* algorithm is slow
convergence to op... | computer science |
37,333 | Reprogramming Matter, Life, and Purpose | cs.CY | Reprogramming matter may sound far-fetched, but we have been doing it with
increasing power and staggering efficiency for at least 60 years, and for
centuries we have been paving the way toward the ultimate reprogrammed fate of
the universe, the vessel of all programs. How will we be doing it in 60 years'
time and how ... | computer science |
37,334 | Design and development of a software system for swarm intelligence based
research studies | cs.AI | This paper introduce a software system including widely-used Swarm
Intelligence algorithms or approaches to be used for the related scientific
research studies associated with the subject area. The programmatic
infrastructure of the system allows working on a fast, easy-to-use, interactive
platform to perform Swarm Int... | computer science |
37,335 | On the idea of a new artificial intelligence based optimization
algorithm inspired from the nature of vortex | cs.AI | In this paper, the idea of a new artificial intelligence based optimization
algorithm, which is inspired from the nature of vortex, has been provided
briefly. As also a bio-inspired computation algorithm, the idea is generally
focused on a typical vortex flow / behavior in nature and inspires from some
dynamics that ar... | computer science |
37,336 | Deriving Probability Density Functions from Probabilistic Functional
Programs | cs.PL | The probability density function of a probability distribution is a
fundamental concept in probability theory and a key ingredient in various
widely used machine learning methods. However, the necessary framework for
compiling probabilistic functional programs to density functions has only
recently been developed. In t... | computer science |
37,337 | Ontology based Scene Creation for the Development of Automated Vehicles | cs.AI | The introduction of automated vehicles without permanent human supervision
demands a functional system description, including functional system boundaries
and a comprehensive safety analysis. These inputs to the technical development
can be identified and analyzed by a scenario-based approach. Furthermore, to
establish... | computer science |
37,338 | An Ontological Architecture for Orbital Debris Data | cs.AI | The orbital debris problem presents an opportunity for inter-agency and
international cooperation toward the mutually beneficial goals of debris
prevention, mitigation, remediation, and improved space situational awareness
(SSA). Achieving these goals requires sharing orbital debris and other SSA
data. Toward this, I p... | computer science |
37,339 | Geracao Automatica de Paineis de Controle para Analise de Mobilidade
Urbana Utilizando Redes Complexas | cs.AI | In this paper we describe an automatic generator to support the data
scientist to construct, in a user-friendly way, dashboards from data
represented as networks. The generator called SBINet (Semantic for Business
Intelligence from Networks) has a semantic layer that, through ontologies,
describes the data that represe... | computer science |
37,340 | Geometry of Policy Improvement | cs.AI | We investigate the geometry of optimal memoryless time independent decision
making in relation to the amount of information that the acting agent has about
the state of the system. We show that the expected long term reward, discounted
or per time step, is maximized by policies that randomize among at most $k$
actions ... | computer science |
37,341 | Contextual Data Collection for Smart Cities | cs.AI | As part of Smart Cities initiatives, national, regional and local governments
all over the globe are under the mandate of being more open regarding how they
share their data. Under this mandate, many of these governments are publishing
data under the umbrella of open government data, which includes measurement
data fro... | computer science |
37,342 | Human-Aware Sensor Network Ontology: Semantic Support for Empirical Data
Collection | cs.AI | Significant efforts have been made to understand and document knowledge
related to scientific measurements. Many of those efforts resulted in one or
more high-quality ontologies that describe some aspects of scientific
measurements, but not in a comprehensive and coherently integrated manner. For
instance, we note that... | computer science |
37,343 | A Service-Oriented Architecture for Assisting the Authoring of Semantic
Crowd Maps | cs.AI | Although there are increasingly more initiatives for the generation of
semantic knowledge based on user participation, there is still a shortage of
platforms for regular users to create applications on which semantic data can
be exploited and generated automatically. We propose an architecture, called
Semantic Maps (Se... | computer science |
37,344 | Landmark Guided Probabilistic Roadmap Queries | cs.RO | A landmark based heuristic is investigated for reducing query phase run-time
of the probabilistic roadmap (\PRM) motion planning method. The heuristic is
generated by storing minimum spanning trees from a small number of vertices
within the \PRM graph and using these trees to approximate the cost of a
shortest path bet... | computer science |
37,345 | Conformative Filtering for Implicit Feedback Data | cs.IR | Implicit feedback is the simplest form of user feedback that can be used for
item recommendation. It is easy to collect and domain independent. However,
there is a lack of negative examples. Existing works circumvent this problem by
making various assumptions regarding the unconsumed items, which fail to hold
when the ... | computer science |
37,346 | From Data to City Indicators: A Knowledge Graph for Supporting Automatic
Generation of Dashboards | cs.AI | In the context of Smart Cities, indicator definitions have been used to
calculate values that enable the comparison among different cities. The
calculation of an indicator values has challenges as the calculation may need
to combine some aspects of quality while addressing different levels of
abstraction. Knowledge gra... | computer science |
37,347 | Improving content marketing processes with the approaches by artificial
intelligence | cs.AI | Content marketing is todays one of the most remarkable approaches in the
context of marketing processes of companies. Value of this kind of marketing
has improved in time, thanks to the latest developments regarding to computer
and communication technologies. Nowadays, especially social media based
platforms have a gre... | computer science |
37,348 | Source-Sensitive Belief Change | cs.AI | The AGM model is the most remarkable framework for modeling belief revision.
However, it is not perfect in all aspects. Paraconsistent belief revision,
multi-agent belief revision and non-prioritized belief revision are three
different extensions to AGM to address three important criticisms applied to
it. In this artic... | computer science |
37,349 | Counterexample Guided Inductive Optimization | cs.AI | This paper describes three variants of a counterexample guided inductive
optimization (CEGIO) approach based on Satisfiability Modulo Theories (SMT)
solvers. In particular, CEGIO relies on iterative executions to constrain a
verification procedure, in order to perform inductive generalization, based on
counterexamples ... | computer science |
37,350 | Parallelized Kendall's Tau Coefficient Computation via SIMD Vectorized
Sorting On Many-Integrated-Core Processors | cs.DC | Pairwise association measure is an important operation in data analytics.
Kendall's tau coefficient is one widely used correlation coefficient
identifying non-linear relationships between ordinal variables. In this paper,
we investigated a parallel algorithm accelerating all-pairs Kendall's tau
coefficient computation ... | computer science |
37,351 | Incremental learning of high-level concepts by imitation | cs.AI | Nowadays, robots become a companion in everyday life. To be well-accepted by
humans, robots should efficiently understand meanings of their partners'
motions and body language, and respond accordingly. Learning concepts by
imitation brings them this ability in a user-friendly way.
This paper presents a fast and robus... | computer science |
37,352 | The Causality/Repair Connection in Databases: Causality-Programs | cs.DB | In this work, answer-set programs that specify repairs of databases are used
as a basis for solving computational and reasoning problems about causes for
query answers from databases. | computer science |
37,353 | A multi-method simulation of a high-frequency bus line using AnyLogic | cs.AI | In this work a mixed agent-based and discrete event simulation model is
developed for a high frequency bus route in the Netherlands. With this model,
different passenger growth scenarios can be easily evaluated. This simulation
model helps policy makers to predict changes that have to be made to bus routes
and planned ... | computer science |
37,354 | Realizing an optimization approach inspired from Piagets theory on
cognitive development | cs.AI | The objective of this paper is to introduce an artificial intelligence based
optimization approach, which is inspired from Piagets theory on cognitive
development. The approach has been designed according to essential processes
that an individual may experience while learning something new or improving his
/ her knowle... | computer science |
37,355 | Governing Governance: A Formal Framework for Analysing Institutional
Design and Enactment Governance | cs.AI | This dissertation is motivated by the need, in today's globalist world, for a
precise way to enable governments, organisations and other regulatory bodies to
evaluate the constraints they place on themselves and others. An organisation's
modus operandi is enacting and fulfilling contracts between itself and its
partici... | computer science |
37,356 | Modular Multi-Objective Deep Reinforcement Learning with Decision Values | cs.AI | In this work we present a method for using Deep Q-Networks (DQNs) in
multi-objective environments. Deep Q-Networks provide remarkable performance in
single objective problems learning from high-level visual state
representations. However, in many scenarios (e.g in robotics, games), the agent
needs to pursue multiple ob... | computer science |
37,357 | Path Planning with Kinematic Constraints for Robot Groups | cs.AI | Path planning for multiple robots is well studied in the AI and robotics
communities. For a given discretized environment, robots need to find
collision-free paths to a set of specified goal locations. Robots can be fully
anonymous, non-anonymous, or organized in groups. Although powerful solvers for
this abstract prob... | computer science |
37,358 | Using a new parsimonious AHP methodology combined with the Choquet
integral: An application for evaluating social housing initiatives | cs.AI | We propose a development of the Analytic Hierarchy Process (AHP) permitting
to use the methodology also in cases of decision problems with a very large
number of alternatives evaluated with respect to several criteria. While the
application of the original AHP method involves many pairwise comparisons
between alternati... | computer science |
37,359 | No, This is not a Circle | math.HO | A popular curve shown in introductory maths textbooks, seems like a circle.
But it is actually a different curve. This paper discusses some elementary
approaches to identify the geometric object, including novel technological
means by using GeoGebra. We demonstrate two ways to refute the false
impression, two suggestio... | computer science |
37,360 | Modeling Events as Machines | cs.AI | The notion of events has occupied a central role in modeling and has an
influence in computer science and philosophy. Recent developments in
diagrammatic modeling have made it possible to examine conceptual
representation of events. This paper explores some aspects of the notion of
events that are produced by applying ... | computer science |
37,361 | Artificial Intelligence Based Malware Analysis | cs.CR | Artificial intelligence methods have often been applied to perform specific
functions or tasks in the cyber-defense realm. However, as adversary methods
become more complex and difficult to divine, piecemeal efforts to understand
cyber-attacks, and malware-based attacks in particular, are not providing
sufficient means... | computer science |
37,362 | Kiwi - A Minimalist CP Solver | cs.AI | Kiwi is a minimalist and extendable Constraint Programming (CP) solver
specifically designed for education. The particularities of Kiwi stand in its
generic trailing state restoration mechanism and its modulable use of
variables. By developing Kiwi, the author does not aim to provide an
alternative to full featured con... | computer science |
37,363 | Deriving Quests from Open World Mechanics | cs.MM | Open world games present players with more freedom than games with linear
progression structures. However, without clearly-defined objectives, they often
leave players without a sense of purpose. Most of the time, quests and
objectives are hand-authored and overlaid atop an open world's mechanics. But
what if they coul... | computer science |
37,364 | MACA: A Modular Architecture for Conversational Agents | cs.AI | We propose a software architecture designed to ease the implementation of
dialogue systems. The Modular Architecture for Conversational Agents (MACA)
uses a plug-n-play style that allows quick prototyping, thereby facilitating
the development of new techniques and the reproduction of previous work. The
architecture sep... | computer science |
37,365 | Argumentation-based Security for Social Good | cs.CR | The increase of connectivity and the impact it has in every day life is
raising new and existing security problems that are becoming important for
social good. We introduce two particular problems: cyber attack attribution and
regulatory data sharing. For both problems, decisions about which rules to
apply, should be t... | computer science |
37,366 | Towards Full Automated Drive in Urban Environments: A Demonstration in
GoMentum Station, California | cs.RO | Each year, millions of motor vehicle traffic accidents all over the world
cause a large number of fatalities, injuries and significant material loss.
Automated Driving (AD) has potential to drastically reduce such accidents. In
this work, we focus on the technical challenges that arise from AD in urban
environments. We... | computer science |
37,367 | Navigating Occluded Intersections with Autonomous Vehicles using Deep
Reinforcement Learning | cs.AI | Providing an efficient strategy to navigate safely through unsignaled
intersections is a difficult task that requires determining the intent of other
drivers. We explore the effectiveness of Deep Reinforcement Learning to handle
intersection problems. Using recent advances in Deep RL, we are able to learn
policies that... | computer science |
37,368 | A Rule-Based Computational Model of Cognitive Arithmetic | cs.AI | Cognitive arithmetic studies the mental processes used in solving math
problems. This area of research explores the retrieval mechanisms and
strategies used by people during a common cognitive task. Past research has
shown that human performance in arithmetic operations is correlated to the
numerical size of the proble... | computer science |
37,369 | A Versatile, Sound Tool for Simplifying Definitions | cs.PL | We present a tool, simplify-defun, that transforms the definition of a given
function into a simplified definition of a new function, providing a proof
checked by ACL2 that the old and new functions are equivalent. When appropriate
it also generates termination and guard proofs for the new function. We explain
how the ... | computer science |
37,370 | Of the People: Voting Is More Effective with Representative Candidates | cs.GT | In light of the classic impossibility results of Arrow and Gibbard and
Satterthwaite regarding voting with ordinal rules, there has been recent
interest in characterizing how well common voting rules approximate the social
optimum. In order to quantify the quality of approximation, it is natural to
consider the candida... | computer science |
37,371 | Block-Parallel IDA* for GPUs (Extended Manuscript) | cs.AI | We investigate GPU-based parallelization of Iterative-Deepening A* (IDA*). We
show that straightforward thread-based parallelization techniques which were
previously proposed for massively parallel SIMD processors perform poorly due
to warp divergence and load imbalance. We propose Block-Parallel IDA* (BPIDA*),
which a... | computer science |
37,372 | Safe and Nested Subgame Solving for Imperfect-Information Games | cs.AI | In imperfect-information games, the optimal strategy in a subgame may depend
on the strategy in other, unreached subgames. Thus a subgame cannot be solved
in isolation and must instead consider the strategy for the entire game as a
whole, unlike perfect-information games. Nevertheless, it is possible to first
approxima... | computer science |
37,373 | Emotional Metaheuristics For in-situ Foraging Using Sensor Constrained
Robot Swarms | cs.RO | We present a new social animal inspired emotional swarm intelligence
technique. This technique is used to solve a variant of the popular collective
robots problem called foraging. We show with a simulation study how simple
interaction rules based on sensations like hunger and loneliness can lead to
globally coherent em... | computer science |
37,374 | Solving a Path Planning Problem in a Partially Known Environment using a
Swarm Algorithm | cs.RO | This paper proposes a path planning strategy for an Autonomous Ground Vehicle
(AGV) navigating in a partially known environment. Global path planning is
performed by first using a spatial database of the region to be traversed
containing selected attributes such as height data and soil information from a
suitable spati... | computer science |
37,375 | Integral Policy Iterations for Reinforcement Learning Problems in
Continuous Time and Space | cs.AI | Policy iteration (PI) is a recursive process of policy evaluation and
improvement to solve an optimal decision-making, e.g., reinforcement learning
(RL) or optimal control problem and has served as the fundamental to develop RL
methods. Motivated by integral PI (IPI) schemes in optimal control and RL
methods in continu... | computer science |
37,376 | Solving Distributed Constraint Optimization Problems Using Logic
Programming | cs.MA | This paper explores the use of Answer Set Programming (ASP) in solving
Distributed Constraint Optimization Problems (DCOPs). The paper provides the
following novel contributions: (1) It shows how one can formulate DCOPs as
logic programs; (2) It introduces ASP-DPOP, the first DCOP algorithm that is
based on logic progr... | computer science |
37,377 | R2-D2: ColoR-inspired Convolutional NeuRal Network (CNN)-based AndroiD
Malware Detections | cs.CR | Machine Learning (ML) has found it particularly useful in malware detection.
However, as the malware evolves very fast, the stability of the feature
extracted from malware serves as a critical issue in malware detection. Recent
success of deep learning in image recognition, natural language processing, and
machine tran... | computer science |
37,378 | Simulated Penetration Testing and Mitigation Analysis | cs.CR | Penetration testing is a well-established practical concept for the
identification of potentially exploitable security weaknesses and an important
component of a security audit. Providing a holistic security assessment for
networks consisting of several hundreds hosts is hardly feasible though without
some sort of mech... | computer science |
37,379 | ResumeVis: A Visual Analytics System to Discover Semantic Information in
Semi-structured Resume Data | cs.HC | Massive public resume data emerging on the WWW indicates individual-related
characteristics in terms of profile and career experiences. Resume Analysis
(RA) provides opportunities for many applications, such as talent seeking and
evaluation. Existing RA studies based on statistical analyzing have primarily
focused on t... | computer science |
37,380 | Strategically knowing how | cs.AI | In this paper, we propose a single-agent logic of goal-directed knowing how
extending the standard epistemic logic of knowing that with a new knowing how
operator. The semantics of the new operator is based on the idea that knowing
how to achieve $\phi$ means that there exists a (uniform) strategy such that
the agent k... | computer science |
37,381 | Comparison-Based Choices | cs.DS | A broad range of on-line behaviors are mediated by interfaces in which people
make choices among sets of options. A rich and growing line of work in the
behavioral sciences indicate that human choices follow not only from the
utility of alternatives, but also from the choice set in which alternatives are
presented. In ... | computer science |
37,382 | Online Article Ranking as a Constrained, Dynamic, Multi-Objective
Optimization Problem | cs.AI | The content ranking problem in a social news website, is typically a function
that maximizes a scalar metric of interest like dwell-time. However, like in
most real-world applications we are interested in more than one metric---for
instance simultaneously maximizing click-through rate, monetization metrics,
dwell-time-... | computer science |
37,383 | Rise of the humanbot | cs.AI | The accelerated path of technological development, particularly at the
interface between hardware and biology has been suggested as evidence for
future major technological breakthroughs associated to our potential to
overcome biological constraints. This includes the potential of becoming
immortal, having expanded cogn... | computer science |
37,384 | Pitfalls and Best Practices in Algorithm Configuration | cs.AI | Good parameter settings are crucial to achieve high performance in many areas
of artificial intelligence (AI), such as satisfiability solving, AI planning,
scheduling, and machine learning (in particular deep learning). Automated
algorithm configuration methods have recently received much attention in the AI
community ... | computer science |
37,385 | Distributed Vector Representation Of Shopping Items, The Customer And
Shopping Cart To Build A Three Fold Recommendation System | cs.IR | The main idea of this paper is to represent shopping items through vectors
because these vectors act as the base for building em- beddings for customers
and shopping carts. Also, these vectors are input to the mathematical models
that act as either a recommendation engine or help in targeting potential
customers. We ha... | computer science |
37,386 | Scalable Exact Parent Sets Identification in Bayesian Networks Learning
with Apache Spark | cs.AI | In Machine Learning, the parent set identification problem is to find a set
of random variables that best explain selected variable given the data and some
predefined scoring function. This problem is a critical component to structure
learning of Bayesian networks and Markov blankets discovery, and thus has many
practi... | computer science |
37,387 | Continuous Implicit Authentication for Mobile Devices based on Adaptive
Neuro-Fuzzy Inference System | cs.CR | As mobile devices have become indispensable in modern life, mobile security
is becoming much more important. Traditional password or PIN-like
point-of-entry security measures score low on usability and are vulnerable to
brute force and other types of attacks. In order to improve mobile security, an
adaptive neuro-fuzzy... | computer science |
37,388 | Foundations of Declarative Data Analysis Using Limit Datalog Programs | cs.AI | Motivated by applications in declarative data analysis, we study
$\mathit{Datalog}_{\mathbb{Z}}$---an extension of positive Datalog with
arithmetic functions over integers. This language is known to be undecidable,
so we propose two fragments. In $\mathit{limit}~\mathit{Datalog}_{\mathbb{Z}}$
predicates are axiomatised... | computer science |
37,389 | A Comparison of Reinforcement Learning Techniques for Fuzzy Cloud
Auto-Scaling | cs.DC | A goal of cloud service management is to design self-adaptable auto-scaler to
react to workload fluctuations and changing the resources assigned. The key
problem is how and when to add/remove resources in order to meet agreed
service-level agreements. Reducing application cost and guaranteeing
service-level agreements ... | computer science |
37,390 | RankPL: A Qualitative Probabilistic Programming Language | cs.AI | In this paper we introduce RankPL, a modeling language that can be thought of
as a qualitative variant of a probabilistic programming language with a
semantics based on Spohn's ranking theory. Broadly speaking, RankPL can be used
to represent and reason about processes that exhibit uncertainty expressible by
distinguis... | computer science |
37,391 | Fast Change Point Detection on Dynamic Social Networks | cs.SI | A number of real world problems in many domains (e.g. sociology, biology,
political science and communication networks) can be modeled as dynamic
networks with nodes representing entities of interest and edges representing
interactions among the entities at different points in time. A common
representation for such mod... | computer science |
37,392 | Note on Evolution and Forecasting of Requirements: Communications
Example | cs.NI | Combinatorial evolution and forecasting of system requirements is examined.
The morphological model is used for a hierarchical requirements system (i.e.,
system parts, design alternatives for the system parts, ordinal estimates for
the alternatives). A set of system changes involves changes of the system
structure, com... | computer science |
37,393 | Symbolic LTLf Synthesis | cs.LO | LTLf synthesis is the process of finding a strategy that satisfies a linear
temporal specification over finite traces. An existing solution to this problem
relies on a reduction to a DFA game. In this paper, we propose a symbolic
framework for LTLf synthesis based on this technique, by performing the
computation over a... | computer science |
37,394 | When Will AI Exceed Human Performance? Evidence from AI Experts | cs.AI | Advances in artificial intelligence (AI) will transform modern life by
reshaping transportation, health, science, finance, and the military. To adapt
public policy, we need to better anticipate these advances. Here we report the
results from a large survey of machine learning researchers on their beliefs
about progress... | computer science |
37,395 | Counterfactual Multi-Agent Policy Gradients | cs.AI | Cooperative multi-agent systems can be naturally used to model many real
world problems, such as network packet routing and the coordination of
autonomous vehicles. There is a great need for new reinforcement learning
methods that can efficiently learn decentralised policies for such systems. To
this end, we propose a ... | computer science |
37,396 | Neural Attribute Machines for Program Generation | cs.AI | Recurrent neural networks have achieved remarkable success at generating
sequences with complex structures, thanks to advances that include richer
embeddings of input and cures for vanishing gradients. Trained only on
sequences from a known grammar, though, they can still struggle to learn rules
and constraints of the ... | computer science |
37,397 | Operation Frames and Clubs in Kidney Exchange | cs.GT | A kidney exchange is a centrally-administered barter market where patients
swap their willing yet incompatible donors. Modern kidney exchanges use
2-cycles, 3-cycles, and chains initiated by non-directed donors (altruists who
are willing to give a kidney to anyone) as the means for swapping.
We propose significant ge... | computer science |
37,398 | Role Playing Learning for Socially Concomitant Mobile Robot Navigation | cs.RO | In this paper, we present the Role Playing Learning (RPL) scheme for a mobile
robot to navigate socially with its human companion in populated environments.
Neural networks (NN) are constructed to parameterize a stochastic policy that
directly maps sensory data collected by the robot to its velocity outputs,
while resp... | computer science |
37,399 | Preliminary results on Ontology-based Open Data Publishing | cs.DB | Despite the current interest in Open Data publishing, a formal and
comprehensive methodology supporting an organization in deciding which data to
publish and carrying out precise procedures for publishing high-quality data,
is still missing. In this paper we argue that the Ontology-based Data
Management paradigm can pr... | computer science |
37,400 | One button machine for automating feature engineering in relational
databases | cs.DB | Feature engineering is one of the most important and time consuming tasks in
predictive analytics projects. It involves understanding domain knowledge and
data exploration to discover relevant hand-crafted features from raw data. In
this paper, we introduce a system called One Button Machine, or OneBM for
short, which ... | computer science |
37,401 | Visuospatial Skill Learning for Robots | cs.RO | A novel skill learning approach is proposed that allows a robot to acquire
human-like visuospatial skills for object manipulation tasks. Visuospatial
skills are attained by observing spatial relationships among objects through
demonstrations. The proposed Visuospatial Skill Learning (VSL) is a goal-based
approach that ... | computer science |
37,402 | The Singularity May Be Near | cs.AI | Toby Walsh in 'The Singularity May Never Be Near' gives six arguments to
support his point of view that technological singularity may happen but that it
is unlikely. In this paper, we provide analysis of each one of his arguments
and arrive at similar conclusions, but with more weight given to the 'likely to
happen' pr... | computer science |
37,403 | Types of Cognition and its Implications for future High-Level Cognitive
Machines | cs.AI | This work summarizes part of current knowledge on High-level Cognitive
process and its relation with biological hardware. Thus, it is possible to
identify some paradoxes which could impact the development of future
technologies and artificial intelligence: we may make a High-level Cognitive
Machine, sacrificing the pri... | computer science |
37,404 | Extracting Hierarchies of Search Tasks & Subtasks via a Bayesian
Nonparametric Approach | cs.IR | A significant amount of search queries originate from some real world
information need or tasks. In order to improve the search experience of the end
users, it is important to have accurate representations of tasks. As a result,
significant amount of research has been devoted to extracting proper
representations of tas... | computer science |
37,405 | Guided Interaction Exploration in Artifact-centric Process Models | cs.DB | Artifact-centric process models aim to describe complex processes as a
collection of interacting artifacts. Recent development in process mining allow
for the discovery of such models. However, the focus is often on the
representation of the individual artifacts rather than their interactions.
Based on event data we ca... | computer science |
37,406 | Improving Max-Sum through Decimation to Solve Loopy Distributed
Constraint Optimization Problems | cs.MA | In the context of solving large distributed constraint optimization problems
(DCOP), belief-propagation and approximate inference algorithms are candidates
of choice. However, in general, when the factor graph is very loopy (i.e.
cyclic), these solution methods suffer from bad performance, due to
non-convergence and ma... | computer science |
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