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37,609 | Adaptive coordination of working-memory and reinforcement learning in
non-human primates performing a trial-and-error problem solving task | cs.AI | Accumulating evidence suggest that human behavior in trial-and-error learning
tasks based on decisions between discrete actions may involve a combination of
reinforcement learning (RL) and working-memory (WM). While the understanding of
brain activity at stake in this type of tasks often involve the comparison with
non... | computer science |
37,610 | Mandolin: A Knowledge Discovery Framework for the Web of Data | cs.DB | Markov Logic Networks join probabilistic modeling with first-order logic and
have been shown to integrate well with the Semantic Web foundations. While
several approaches have been devised to tackle the subproblems of rule mining,
grounding, and inference, no comprehensive workflow has been proposed so far.
In this pap... | computer science |
37,611 | Decentralised firewall for malware detection | cs.CR | This paper describes the design and development of a decentralized firewall
system powered by a novel malware detection engine. The firewall is built using
blockchain technology. The detection engine aims to classify Portable
Executable (PE) files as malicious or benign. File classification is carried
out using a deep ... | computer science |
37,612 | A Foundry of Human Activities and Infrastructures | cs.AI | Direct representation knowledgebases can enhance and even provide an
alternative to document-centered digital libraries. Here we consider realist
semantic modeling of everyday activities and infrastructures in such
knowledgebases. Because we want to integrate a wide variety of topics, a
collection of ontologies (a foun... | computer science |
37,613 | Faster Fuzzing: Reinitialization with Deep Neural Models | cs.AI | We improve the performance of the American Fuzzy Lop (AFL) fuzz testing
framework by using Generative Adversarial Network (GAN) models to reinitialize
the system with novel seed files. We assess performance based on the temporal
rate at which we produce novel and unseen code paths. We compare this approach
to seed file... | computer science |
37,614 | Heuristic Optimization for Automated Distribution System Planning in
Network Integration Studies | cs.CE | Network integration studies try to assess the impact of future developments,
such as the increase of Renewable Energy Sources or the introduction of Smart
Grid Technologies, on large-scale network areas. Goals can be to support
strategic alignment in the regulatory framework or to adapt the network
planning principles ... | computer science |
37,615 | Lattice embeddings between types of fuzzy sets. Closed-valued fuzzy sets | cs.AI | In this paper we deal with the problem of extending Zadeh's operators on
fuzzy sets (FSs) to interval-valued (IVFSs), set-valued (SVFSs) and type-2
(T2FSs) fuzzy sets. Namely, it is known that seeing FSs as SVFSs, or T2FSs,
whose membership degrees are singletons is not order-preserving. We then
describe a family of la... | computer science |
37,616 | Optimised Maintenance of Datalog Materialisations | cs.DB | To efficiently answer queries, datalog systems often materialise all
consequences of a datalog program, so the materialisation must be updated
whenever the input facts change. Several solutions to the materialisation
update problem have been proposed. The Delete/Rederive (DRed) and the
Backward/Forward (B/F) algorithms... | computer science |
37,617 | Stream Reasoning in Temporal Datalog | cs.AI | In recent years, there has been an increasing interest in extending
traditional stream processing engines with logical, rule-based, reasoning
capabilities. This poses significant theoretical and practical challenges since
rules can derive new information and propagate it both towards past and future
time points; as a r... | computer science |
37,618 | Physiological and behavioral profiling for nociceptive pain estimation
using personalized multitask learning | cs.AI | Pain is a subjective experience commonly measured through patient's self
report. While there exist numerous situations in which automatic pain
estimation methods may be preferred, inter-subject variability in physiological
and behavioral pain responses has hindered the development of such methods. In
this work, we addr... | computer science |
37,619 | Building machines that adapt and compute like brains | cs.AI | Building machines that learn and think like humans is essential not only for
cognitive science, but also for computational neuroscience, whose ultimate goal
is to understand how cognition is implemented in biological brains. A new
cognitive computational neuroscience should build cognitive-level and neural-
level model... | computer science |
37,620 | On the Synthesis of Guaranteed-Quality Plans for Robot Fleets in
Logistics Scenarios via Optimization Modulo Theories | cs.AI | In manufacturing, the increasing involvement of autonomous robots in
production processes poses new challenges on the production management. In this
paper we report on the usage of Optimization Modulo Theories (OMT) to solve
certain multi-robot scheduling problems in this area. Whereas currently
existing methods are he... | computer science |
37,621 | Solving the Resource Constrained Project Scheduling Problem Using the
Parallel Tabu Search Designed for the CUDA Platform | cs.DC | In the paper, a parallel Tabu Search algorithm for the Resource Constrained
Project Scheduling Problem is proposed. To deal with this NP-hard combinatorial
problem many optimizations have been performed. For example, a resource
evaluation algorithm is selected by a heuristic and an effective Tabu List was
designed. In ... | computer science |
37,622 | A unified decision making framework for supply and demand management in
microgrid networks | cs.SY | This paper considers two important problems - on the supply-side and
demand-side respectively and studies both in a unified framework. On the supply
side, we study the problem of energy sharing among microgrids with the goal of
maximizing profit obtained from selling power while meeting customer demand. On
the other ha... | computer science |
37,623 | Web Robot Detection in Academic Publishing | cs.AI | Recent industry reports assure the rise of web robots which comprise more
than half of the total web traffic. They not only threaten the security,
privacy and efficiency of the web but they also distort analytics and metrics,
doubting the veracity of the information being promoted. In the academic
publishing domain, th... | computer science |
37,624 | IKBT: solving closed-form Inverse Kinematics with Behavior Tree | cs.RO | Serial robot arms have complicated kinematic equations which must be solved
to write effective arm planning and control software (the Inverse Kinematics
Problem). Existing software packages for inverse kinematics often rely on
numerical methods which have significant shortcomings. Here we report a new
symbolic inverse ... | computer science |
37,625 | Hibikino-Musashi@Home 2017 Team Description Paper | cs.RO | Our team Hibikino-Musashi@Home was founded in 2010. It is based in Kitakyushu
Science and Research Park, Japan. Since 2010, we have participated in the
RoboCup@Home Japan open competition open-platform league every year. Currently,
the Hibikino-Musashi@Home team has 24 members from seven different laboratories
based in... | computer science |
37,626 | Note on Representing attribute reduction and concepts in concepts
lattice using graphs | cs.AI | Mao H. (2017, Representing attribute reduction and concepts in concept
lattice using graphs. Soft Computing 21(24):7293--7311) claims to make
contributions to the study of reduction of attributes in concept lattices by
using graph theory. We show that her results are either trivial or already
well-known and all three a... | computer science |
37,627 | K3, L3, LP, RM3, A3, FDE: How to Make Many-Valued Logics Work for You | cs.AI | We investigate some well-known (and a few not-so-well-known) many-valued
logics that have a small number (3 or 4) of truth values. For some of them we
complain that they do not have any \emph{logical} use (despite their perhaps
having some intuitive semantic interest) and we look at ways to add features so
as to make t... | computer science |
37,628 | Sub-committee Approval Voting and Generalised Justified Representation
Axioms | cs.GT | Social choice is replete with various settings including single-winner
voting, multi-winner voting, probabilistic voting, multiple referenda, and
public decision making. We study a general model of social choice called
Sub-Committee Voting (SCV) that simultaneously generalizes these settings. We
then focus on sub-commi... | computer science |
37,629 | Enabling Reasoning with LegalRuleML | cs.AI | In order to automate verification process, regulatory rules written in
natural language needs to be translated into a format that machines can
understand. However, none of the existing formalisms can fully represent the
elements that appear in legal norms. For instance, most of these formalisms do
not provide features ... | computer science |
37,630 | A Robust Genetic Algorithm for Learning Temporal Specifications from
Data | cs.AI | We consider the problem of mining signal temporal logical requirements from a
dataset of regular (good) and anomalous (bad) trajectories of a dynamical
system. We assume the training set to be labeled by human experts and that we
have access only to a limited amount of data, typically noisy. We provide a
systematic app... | computer science |
37,631 | Conditional Markov Chain Search for the Simple Plant Location Problem
improves upper bounds on twelve Körkel-Ghosh instances | cs.DS | We address a family of hard benchmark instances for the Simple Plant Location
Problem (also known as the Uncapacitated Facility Location Problem). The recent
attempt by Fischetti et al. to tackle the K\"orkel-Ghosh instances resulted in
seven new optimal solutions and 22 improved upper bounds. We use automated
generati... | computer science |
37,632 | Reconstruction of the External Stimuli from Brain Signals | eess.SP | Despite the rapid advances in Brain-computer Interfacing (BCI) and continuous
effort to improve the accuracy of brain decoding systems, the urge for the
systems to reconstruct the experiences of the users has been widely
acknowledged. This urge has been investigated by some researchers during the
past years in terms of... | computer science |
37,633 | ATRank: An Attention-Based User Behavior Modeling Framework for
Recommendation | cs.AI | A user can be represented as what he/she does along the history. A common way
to deal with the user modeling problem is to manually extract all kinds of
aggregated features over the heterogeneous behaviors, which may fail to fully
represent the data itself due to limited human instinct. Recent works usually
use RNN-bas... | computer science |
37,634 | Scalable Relaxations of Sparse Packing Constraints: Optimal Biocontrol
in Predator-Prey Network | cs.AI | Cascades represent rapid changes in networks. A cascading phenomenon of
ecological and economic impact is the spread of invasive species in geographic
landscapes. The most promising management strategy is often biocontrol, which
entails introducing a natural predator able to control the invading population,
a setting t... | computer science |
37,635 | Computational Results for Extensive-Form Adversarial Team Games | cs.AI | We provide, to the best of our knowledge, the first computational study of
extensive-form adversarial team games. These games are sequential, zero-sum
games in which a team of players, sharing the same utility function, faces an
adversary. We define three different scenarios according to the communication
capabilities ... | computer science |
37,636 | Dynamic Neural Program Embedding for Program Repair | cs.AI | Neural program embeddings have shown much promise recently for a variety of
program analysis tasks, including program synthesis, program repair, fault
localization, etc. However, most existing program embeddings are based on
syntactic features of programs, such as raw token sequences or abstract syntax
trees. Unlike im... | computer science |
37,637 | Bayesian Active Edge Evaluation on Expensive Graphs | cs.RO | Robots operate in environments with varying implicit structure. For instance,
a helicopter flying over terrain encounters a very different arrangement of
obstacles than a robotic arm manipulating objects on a cluttered table top.
State-of-the-art motion planning systems do not exploit this structure, thereby
expending ... | computer science |
37,638 | MaMaDroid: Detecting Android Malware by Building Markov Chains of
Behavioral Models (Extended Version) | cs.CR | As Android becomes increasingly popular, so does malware targeting it, this
motivating the research community to propose many different detection
techniques. However, the constant evolution of the Android ecosystem, and of
malware itself, makes it hard to design robust tools that can operate for long
periods of time wi... | computer science |
37,639 | On the Distortion of Voting with Multiple Representative Candidates | cs.GT | We study positional voting rules when candidates and voters are embedded in a
common metric space, and cardinal preferences are naturally given by distances
in the metric space. In a positional voting rule, each candidate receives a
score from each ballot based on the ballot's rank order; the candidate with the
highest... | computer science |
37,640 | Groupwise Maximin Fair Allocation of Indivisible Goods | cs.GT | We study the problem of allocating indivisible goods among n agents in a fair
manner. For this problem, maximin share (MMS) is a well-studied solution
concept which provides a fairness threshold. Specifically, maximin share is
defined as the minimum utility that an agent can guarantee for herself when
asked to partitio... | computer science |
37,641 | Multiagent Simple Temporal Problem: The Arc-Consistency Approach | cs.MA | The Simple Temporal Problem (STP) is a fundamental temporal reasoning problem
and has recently been extended to the Multiagent Simple Temporal Problem
(MaSTP). In this paper we present a novel approach that is based on enforcing
arc-consistency (AC) on the input (multiagent) simple temporal network. We show
that the AC... | computer science |
37,642 | High-dimensional Motion Planning using Latent Variable Models via
Approximate Inference | cs.RO | In this work, we present an efficient framework to generate a motion
trajectory of a robot that has a high degree of freedom (e.g., a humanoid
robot). High-dimensionality of the robot configuration space often leads to
difficulties in utilizing the widely-used motion planning algorithms because
the volume of the decisi... | computer science |
37,643 | Systems, Actors and Agents: Operation in a multicomponent environment | cs.MA | Multi-agent approach has become popular in computer science and technology.
However, the conventional models of multi-agent and multicomponent systems
implicitly or explicitly assume existence of absolute time or even do not
include time in the set of defining parameters. At the same time, it is proved
theoretically an... | computer science |
37,644 | Allocation Problems in Ride-Sharing Platforms: Online Matching with
Offline Reusable Resources | cs.AI | Bipartite matching markets pair agents on one side of a market with agents,
items, or contracts on the opposing side. Prior work addresses online bipartite
matching markets, where agents arrive over time and are dynamically matched to
a known set of disposable resources. In this paper, we propose a new model,
Online Ma... | computer science |
37,645 | A Study on Modeling of Inputting Electrical Power of Ultra High Power
Electric Furnace by using Fuzzy Rule and Regression Model | cs.SY | : In this paper a method to make inputting electrical model upon factors that
affect melting process of high ultra power(UHP) electric furnace by using fuzzy
rule and regression model is suggested and its effectiveness is verified with
simulation experiment. | computer science |
37,646 | Exploring Approximations for Floating-Point Arithmetic using UppSAT | cs.LO | We consider the problem of solving floating-point constraints obtained from
software verification. We present UppSAT --- a new implementation of a
systematic approximation refinement framework [ZWR17] as an abstract SMT
solver. Provided with an approximation and a decision procedure (implemented in
an off-the-shelf SMT... | computer science |
37,647 | Cooperative Multi-Agent Planning: A Survey | cs.AI | Cooperative multi-agent planning (MAP) is a relatively recent research field
that combines technologies, algorithms and techniques developed by the
Artificial Intelligence Planning and Multi-Agent Systems communities. While
planning has been generally treated as a single-agent task, MAP generalizes
this concept by cons... | computer science |
37,648 | Identification of Strong Edges in AMP Chain Graphs | math.CO | The essential graph is a distinguished member of a Markov equivalence class
of AMP chain graphs. However, the directed edges in the essential graph are not
necessarily strong or invariant, i.e. they may not be shared by every member of
the equivalence class. Likewise for the undirected edges. In this paper, we
develop ... | computer science |
37,649 | Meteorology-Aware Multi-Goal Path Planning for Large-Scale Inspection
Missions with Long-Endurance Solar-Powered Aircraft | cs.RO | Solar-powered aircraft promise significantly increased flight endurance over
conventional aircraft. While this makes them promising candidates for
large-scale aerial inspection missions, their structural fragility necessitates
that adverse weather is avoided using appropriate path planning methods. This
paper therefore... | computer science |
37,650 | Leveraging Conversation Structure on Social Media to Identify
Potentially Influential Users | cs.AI | Social networks have a community providing feedback on comments that allows
to identify opinion leaders and users whose positions are unwelcome. Other
platforms are not backed by such tools. Having a picture of the community's
reactions to a published content is a non trivial problem. In this work we
propose a novel ap... | computer science |
37,651 | Happiness Pursuit: Personality Learning in a Society of Agents | cs.MA | Modeling personality is a challenging problem with applications spanning
computer games, virtual assistants, online shopping and education. Many
techniques have been tried, ranging from neural networks to computational
cognitive architectures. However, most approaches rely on examples with
hand-crafted features and sce... | computer science |
37,652 | Always Lurking: Understanding and Mitigating Bias in Online Human
Trafficking Detection | cs.AI | Web-based human trafficking activity has increased in recent years but it
remains sparsely dispersed among escort advertisements and difficult to
identify due to its often-latent nature. The use of intelligent systems to
detect trafficking can thus have a direct impact on investigative resource
allocation and decision-... | computer science |
37,653 | Learning User Intent from Action Sequences on Interactive Systems | cs.AI | Interactive systems have taken over the web and mobile space with increasing
participation from users. Applications across every marketing domain can now be
accessed through mobile or web where users can directly perform certain actions
and reach a desired outcome. Actions of user on a system, though, can be
representa... | computer science |
37,654 | Determinism in the Certification of UNSAT Proofs | cs.LO | The search for increased trustworthiness of SAT solvers is very active and
uses various methods. Some of these methods obtain a proof from the provers
then check it, normally by replicating the search based on the proof's
information. Because the certification process involves another nontrivial
proof search, the trust... | computer science |
37,655 | Recruitment Market Trend Analysis with Sequential Latent Variable Models | cs.AI | Recruitment market analysis provides valuable understanding of
industry-specific economic growth and plays an important role for both
employers and job seekers. With the rapid development of online recruitment
services, massive recruitment data have been accumulated and enable a new
paradigm for recruitment market anal... | computer science |
37,656 | Towards Fully Environment-Aware UAVs: Real-Time Path Planning with
Online 3D Wind Field Prediction in Complex Terrain | cs.RO | Today, low-altitude fixed-wing Unmanned Aerial Vehicles (UAVs) are largely
limited to primitively follow user-defined waypoints. To allow fully-autonomous
remote missions in complex environments, real-time environment-aware navigation
is required both with respect to terrain and strong wind drafts. This paper
presents ... | computer science |
37,657 | A novel model-based heuristic for energy optimal motion planning for
automated driving | math.OC | Predictive motion planning is the key to achieve energy-efficient driving,
which is one of the main benefits of automated driving. Researchers have been
studying the planning of velocity trajectories, a simpler form of motion
planning, for over a decade now and many different methods are available.
Dynamic programming ... | computer science |
37,658 | AI Safety and Reproducibility: Establishing Robust Foundations for the
Neuroscience of Human Values | cs.AI | We propose the creation of a systematic effort to identify and replicate key
findings in neuroscience and allied fields related to understanding human
values. Our aim is to ensure that research underpinning the value alignment
problem of artificial intelligence has been sufficiently validated to play a
role in the desi... | computer science |
37,659 | Android Malware Characterization using Metadata and Machine Learning
Techniques | cs.CR | Android Malware has emerged as a consequence of the increasing popularity of
smartphones and tablets. While most previous work focuses on inherent
characteristics of Android apps to detect malware, this study analyses indirect
features and meta-data to identify patterns in malware applications. Our
experiments show tha... | computer science |
37,660 | A Bayesian Clearing Mechanism for Combinatorial Auctions | cs.GT | We cast the problem of combinatorial auction design in a Bayesian framework
in order to incorporate prior information into the auction process and minimize
the number of rounds to convergence. We first develop a generative model of
agent valuations and market prices such that clearing prices become maximum a
posteriori... | computer science |
37,661 | Constraint and Mathematical Programming Models for Integrated Port
Container Terminal Operations | cs.AI | This paper considers the integrated problem of quay crane assignment, quay
crane scheduling, yard location assignment, and vehicle dispatching operations
at a container terminal. The main objective is to minimize vessel turnover
times and maximize the terminal throughput, which are key economic drivers in
terminal oper... | computer science |
37,662 | What Can This Robot Do? Learning from Appearance and Experiments | cs.AI | When presented with an unknown robot (subject) how can an autonomous agent
(learner) figure out what this new robot can do? The subject's appearance can
provide cues to its physical as well as cognitive capabilities. Seeing a
humanoid can make one wonder if it can kick balls, climb stairs or recognize
faces. What if th... | computer science |
37,663 | Morphology dictates a robot's ability to ground crowd-proposed language | cs.AI | As more robots act in physical proximity to people, it is essential to ensure
they make decisions and execute actions that align with human values. To do so,
robots need to understand the true intentions behind human-issued commands. In
this paper, we define a safe robot as one that receives a natural-language
command ... | computer science |
37,664 | Heinrich Behmann's Contributions to Second-Order Quantifier Elimination
from the View of Computational Logic | cs.LO | For relational monadic formulas (the L\"owenheim class) second-order
quantifier elimination, which is closely related to computation of uniform
interpolants, projection and forgetting - operations that currently receive
much attention in knowledge processing - always succeeds. The decidability
proof for this class by H... | computer science |
37,665 | MURA Dataset: Towards Radiologist-Level Abnormality Detection in
Musculoskeletal Radiographs | cs.AI | We introduce MURA, a large dataset of musculoskeletal radiographs containing
40,895 images from 14,982 studies, where each study is manually labeled by
radiologists as either normal or abnormal. On this dataset, we train a
169-layer densely connected convolutional network to detect and localize
abnormalities. To evalua... | computer science |
37,666 | Self-Supervised Damage-Avoiding Manipulation Strategy Optimization via
Mental Simulation | cs.RO | Everyday robotics are challenged to deal with autonomous product handling in
applications like logistics or retail, possibly causing damage on the items
during manipulation. Traditionally, most approaches try to minimize physical
interaction with goods. However, we propose to take into account any unintended
motion of ... | computer science |
37,667 | Towards an unanimous international regulatory body for responsible use
of Artificial Intelligence [UIRB-AI] | cs.AI | Artificial Intelligence (AI), is once again in the phase of drastic
advancements. Unarguably, the technology itself can revolutionize the way we
live our everyday life. But the exponential growth of technology poses a
daunting task for policy researchers and law makers in making amendments to the
existing norms. In add... | computer science |
37,668 | Bit-Vector Model Counting using Statistical Estimation | cs.CR | Approximate model counting for bit-vector SMT formulas (generalizing \#SAT)
has many applications such as probabilistic inference and quantitative
information-flow security, but it is computationally difficult. Adding random
parity constraints (XOR streamlining) and then checking satisfiability is an
effective approxim... | computer science |
37,669 | Multiagent-based Participatory Urban Simulation through Inverse
Reinforcement Learning | cs.MA | The multiagent-based participatory simulation features prominently in urban
planning as the acquired model is considered as the hybrid system of the domain
and the local knowledge. However, the key problem of generating realistic
agents for particular social phenomena invariably remains. The existing models
have attemp... | computer science |
37,670 | Improvements to Inference Compilation for Probabilistic Programming in
Large-Scale Scientific Simulators | cs.AI | We consider the problem of Bayesian inference in the family of probabilistic
models implicitly defined by stochastic generative models of data. In
scientific fields ranging from population biology to cosmology, low-level
mechanistic components are composed to create complex generative models. These
models lead to intra... | computer science |
37,671 | Rank Pruning for Dominance Queries in CP-Nets | cs.AI | Conditional preference networks (CP-nets) are a graphical representation of a
person's (conditional) preferences over a set of discrete variables. In this
paper, we introduce a novel method of quantifying preference for any given
outcome based on a CP-net representation of a user's preferences. We
demonstrate that thes... | computer science |
37,672 | Towards Collaborative Conceptual Exploration | cs.AI | In domains with high knowledge distribution a natural objective is to create
principle foundations for collaborative interactive learning environments. We
present a first mathematical characterization of a collaborative learning
group, a consortium, based on closure systems of attribute sets and the
well-known attribut... | computer science |
37,673 | How Intelligent is your Intelligent Robot? | cs.RO | How intelligent is robot A compared with robot B? And how intelligent are
robots A and B compared with animals (or plants) X and Y? These are both
interesting and deeply challenging questions. In this paper we address the
question "how intelligent is your intelligent robot?" by proposing that
embodied intelligence emer... | computer science |
37,674 | Traffic Flow Forecasting Using a Spatio-Temporal Bayesian Network
Predictor | cs.AI | A novel predictor for traffic flow forecasting, namely spatio-temporal
Bayesian network predictor, is proposed. Unlike existing methods, our approach
incorporates all the spatial and temporal information available in a
transportation network to carry our traffic flow forecasting of the current
site. The Pearson correla... | computer science |
37,675 | Android Malware Detection using Deep Learning on API Method Sequences | cs.CR | Android OS experiences a blazing popularity since the last few years. This
predominant platform has established itself not only in the mobile world but
also in the Internet of Things (IoT) devices. This popularity, however, comes
at the expense of security, as it has become a tempting target of malicious
apps. Hence, t... | computer science |
37,676 | A Random Block-Coordinate Douglas-Rachford Splitting Method with Low
Computational Complexity for Binary Logistic Regression | math.OC | In this paper, we propose a new optimization algorithm for sparse logistic
regression based on a stochastic version of the Douglas-Rachford splitting
method. Our algorithm sweeps the training set by randomly selecting a
mini-batch of data at each iteration, and it allows us to update the variables
in a block coordinate... | computer science |
37,677 | An Online Ride-Sharing Path Planning Strategy for Public Vehicle Systems | cs.AI | As efficient traffic-management platforms, public vehicle (PV) systems are
envisioned to be a promising approach to solving traffic congestions and
pollutions for future smart cities. PV systems provide online/dynamic
peer-to-peer ride-sharing services with the goal of serving sufficient number
of customers with minimu... | computer science |
37,678 | The Merits of Sharing a Ride | cs.SI | The culture of sharing instead of ownership is sharply increasing in
individuals behaviors. Particularly in transportation, concepts of sharing a
ride in either carpooling or ridesharing have been recently adopted. An
efficient optimization approach to match passengers in real-time is the core of
any ridesharing system... | computer science |
37,679 | First Draft on the xInf Model for Universal Physical Computation and
Reverse Engineering of Natural Intelligence | cs.AI | Turing Machines are universal computing machines in theory. It has been a
long debate whether Turing Machines can simulate the consciousness mind
behaviors in the materialistic universe. Three different hypotheses come out of
such debate, in short:(A) Can; (B) Cannot; (C) Super-Turing machines can.
Because Turing Machi... | computer science |
37,680 | Game-theoretic Network Centrality: A Review | cs.AI | Game-theoretic centrality is a flexible and sophisticated approach to
identify the most important nodes in a network. It builds upon the methods from
cooperative game theory and network theory. The key idea is to treat nodes as
players in a cooperative game, where the value of each coalition is determined
by certain gr... | computer science |
37,681 | Users Constraints in Itemset Mining | cs.AI | Discovering significant itemsets is one of the fundamental problems in data
mining. It has recently been shown that constraint programming is a flexible
way to tackle data mining tasks. With a constraint programming approach, we can
easily express and efficiently answer queries with users constraints on items.
However,... | computer science |
37,682 | How will the Internet of Things enable Augmented Personalized Health? | cs.CY | Internet-of-Things (IoT) is profoundly redefining the way we create, consume,
and share information. Health aficionados and citizens are increasingly using
IoT technologies to track their sleep, food intake, activity, vital body
signals, and other physiological observations. This is complemented by IoT
systems that con... | computer science |
37,683 | SenseNet: 3D Objects Database and Tactile Simulator | cs.AI | The majority of artificial intelligence research, as it relates from which to
biological senses has been focused on vision. The recent explosion of machine
learning and in particular, dee p learning, can be partially attributed to the
release of high quality data sets for algorithm s from which to model the world
on. T... | computer science |
37,684 | Multi-Objective Vehicle Routing Problem Applied to Large Scale Post
Office Deliveries | cs.AI | The number of optimization techniques in the combinatorial domain is large
and diversified. Nevertheless, real-world based benchmarks for testing
algorithms are few. This work creates an extensible real-world mail delivery
benchmark to the Vehicle Routing Problem (VRP) in a planar graph embedded in
the 2D Euclidean spa... | computer science |
37,685 | Accounting for hidden common causes when inferring cause and effect from
observational data | cs.AI | Identifying causal relationships from observation data is difficult, in large
part, due to the presence of hidden common causes. In some cases, where just
the right patterns of conditional independence and dependence lie in the
data---for example, Y-structures---it is possible to identify cause and effect.
In other cas... | computer science |
37,686 | Um Sistema Multiagente no Combate ao Braqueamento de Capitais | cs.MA | Money laundering is a crime that makes it possible to finance other crimes,
for this reason, it is important for criminal organizations and their combat is
prioritized by nations around the world. The anti-money laundering process has
not evolved as expected because it has prioritized only the signaling of
suspicious t... | computer science |
37,687 | A Decision-theoretic Approach to Detection-based Target Search with a
UAV | cs.AI | Search and rescue missions and surveillance require finding targets in a
large area. These tasks often use unmanned aerial vehicles (UAVs) with cameras
to detect and move towards a target. However, common UAV approaches make two
simplifying assumptions. First, they assume that observations made from
different heights a... | computer science |
37,688 | A Quantitative Analysis of Multi-Winner Rules | cs.MA | To choose a multi-winner rule, i.e., a voting rule that selects a subset of
$k$ alternatives based on preferences of a certain population, is a hard and
ambiguous task. Depending on the context, it varies widely what constitutes an
"optimal" committee. In this paper, we offer a new perspective to measure the
quality of... | computer science |
37,689 | Reasons and Means to Model Preferences as Incomplete | cs.AI | Literature involving preferences of artificial agents or human beings often
assume their preferences can be represented using a complete transitive binary
relation. Much has been written however on different models of preferences. We
review some of the reasons that have been put forward to justify more complex
modeling... | computer science |
37,690 | Artificial Intelligence (AI) Methods in Optical Networks: A
Comprehensive Survey | cs.AI | Artificial intelligence (AI) is an extensive scientific discipline which
enables computer systems to solve problems by emulating complex biological
processes such as learning, reasoning and self-correction. This paper presents
a comprehensive review of the application of AI techniques for improving
performance of optic... | computer science |
37,691 | Automated Conjecturing VII: The Graph Brain Project & Big Mathematics | cs.AI | The Graph Brain Project is an experiment in how the use of automated
mathematical discovery software, databases, large collaboration, and systematic
investigation provide a model for how mathematical research might proceed in
the future.
Our Project began with the development of a program that can be used to
generate... | computer science |
37,692 | A Comprehensive Survey of Ontology Summarization: Measures and Methods | cs.IR | The Semantic Web is becoming a large scale framework that enables data to be
published, shared, and reused in the form of ontologies. The ontology which is
considered as basic building block of semantic web consists of two layers
including data and schema layer. With the current exponential development of
ontologies in... | computer science |
37,693 | From Eliza to XiaoIce: Challenges and Opportunities with Social Chatbots | cs.AI | Conversational systems have come a long way since their inception in the
1960s. After decades of research and development, we've seen progress from
Eliza and Parry in the 60's and 70's, to task-completion systems as in the
DARPA Communicator program in the 2000s, to intelligent personal assistants
such as Siri in the 2... | computer science |
37,694 | Robot Localisation and 3D Position Estimation Using a Free-Moving Camera
and Cascaded Convolutional Neural Networks | cs.RO | Many works in collaborative robotics and human-robot interaction focuses on
identifying and predicting human behaviour while considering the information
about the robot itself as given. This can be the case when sensors and the
robot are calibrated in relation to each other and often the reconfiguration of
the system i... | computer science |
37,695 | Indian Regional Movie Dataset for Recommender Systems | cs.IR | Indian regional movie dataset is the first database of regional Indian
movies, users and their ratings. It consists of movies belonging to 18
different Indian regional languages and metadata of users with varying
demographics. Through this dataset, the diversity of Indian regional cinema and
its huge viewership is capt... | computer science |
37,696 | Perceptual Context in Cognitive Hierarchies | cs.AI | Cognition does not only depend on bottom-up sensor feature abstraction, but
also relies on contextual information being passed top-down. Context is higher
level information that helps to predict belief states at lower levels. The main
contribution of this paper is to provide a formalisation of perceptual context
and it... | computer science |
37,697 | An Ontology for Satellite Databases | cs.AI | This paper demonstrates the development of ontology for satellite databases.
First, I create a computational ontology for the Union of Concerned Scientists
(UCS) Satellite Database (UCSSD for short), called the UCS Satellite Ontology
(or UCSSO). Second, in developing UCSSO I show that The Space Situational
Awareness On... | computer science |
37,698 | Eliciting Worker Preference for Task Completion | cs.DB | Current crowdsourcing platforms provide little support for worker feedback.
Workers are sometimes invited to post free text describing their experience and
preferences in completing tasks. They can also use forums such as Turker
Nation1 to exchange preferences on tasks and requesters. In fact, crowdsourcing
platforms r... | computer science |
37,699 | Chameleon: A Hybrid Secure Computation Framework for Machine Learning
Applications | cs.CR | We present Chameleon, a novel hybrid (mixed-protocol) framework for secure
function evaluation (SFE) which enables two parties to jointly compute a
function without disclosing their private inputs. Chameleon combines the best
aspects of generic SFE protocols with the ones that are based upon additive
secret sharing. In... | computer science |
37,700 | Using probabilistic programs as proposals | cs.AI | Monte Carlo inference has asymptotic guarantees, but can be slow when using
generic proposals. Handcrafted proposals that rely on user knowledge about the
posterior distribution can be efficient, but are difficult to derive and
implement. This paper proposes to let users express their posterior knowledge
in the form of... | computer science |
37,701 | Planning with Trust for Human-Robot Collaboration | cs.RO | Trust is essential for human-robot collaboration and user adoption of
autonomous systems, such as robot assistants. This paper introduces a
computational model which integrates trust into robot decision-making.
Specifically, we learn from data a partially observable Markov decision process
(POMDP) with human trust as a... | computer science |
37,702 | Cooperative Multi-Agent Reinforcement Learning for Low-Level Wireless
Communication | eess.SP | Traditional radio systems are strictly co-designed on the lower levels of the
OSI stack for compatibility and efficiency. Although this has enabled the
success of radio communications, it has also introduced lengthy standardization
processes and imposed static allocation of the radio spectrum. Various
initiatives have ... | computer science |
37,703 | Deep Reinforcement Fuzzing | cs.AI | Fuzzing is the process of finding security vulnerabilities in
input-processing code by repeatedly testing the code with modified inputs. In
this paper, we formalize fuzzing as a reinforcement learning problem using the
concept of Markov decision processes. This in turn allows us to apply
state-of-the-art deep Q-learnin... | computer science |
37,704 | A Human-Grounded Evaluation Benchmark for Local Explanations of Machine
Learning | cs.HC | In order for people to be able to trust and take advantage of the results of
advanced machine learning and artificial intelligence solutions for real
decision making, people need to be able to understand the machine rationale for
given output. Research in explain artificial intelligence (XAI) addresses the
aim, but the... | computer science |
37,705 | Reinforcement Learning based Recommender System using Biclustering
Technique | cs.IR | A recommender system aims to recommend items that a user is interested in
among many items. The need for the recommender system has been expanded by the
information explosion. Various approaches have been suggested for providing
meaningful recommendations to users. One of the proposed approaches is to
consider a recomm... | computer science |
37,706 | The Case for Automatic Database Administration using Deep Reinforcement
Learning | cs.DB | Like any large software system, a full-fledged DBMS offers an overwhelming
amount of configuration knobs. These range from static initialisation
parameters like buffer sizes, degree of concurrency, or level of replication to
complex runtime decisions like creating a secondary index on a particular
column or reorganisin... | computer science |
37,707 | Toward Scalable Verification for Safety-Critical Deep Networks | cs.AI | The increasing use of deep neural networks for safety-critical applications,
such as autonomous driving and flight control, raises concerns about their
safety and reliability. Formal verification can address these concerns by
guaranteeing that a deep learning system operates as intended, but the state of
the art is lim... | computer science |
37,708 | Optimal Weighting for Exam Composition | cs.CY | A problem faced by many instructors is that of designing exams that
accurately assess the abilities of the students. Typically these exams are
prepared several days in advance, and generic question scores are used based on
rough approximation of the question difficulty and length. For example, for a
recent class taught... | computer science |
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