aaai 2014 论文列表
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, July 27 -31, 2014, Québec City, Québec, Canada.
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Content-Structural Relation Inference in Knowledge Base.
Inferring Causal Directions in Errors-in-Variables Models.
Fast Algorithm for Non-Stationary Gaussian Process Prediction.
Data Clustering by Laplacian Regularized L1-Graph.
Representing Words as Lymphocytes.
Uncovering Hidden Structure through Parallel Problem Decomposition.
Converting Instance Checking to Subsumption: A Rethink for Object Queries over Practical Ontologies.
A Model Attention and Selection Framework for Estimation of Many Variables, with Applications to Estimating Object States in Large Spatial Environments.
A Data Complexity Approach to Kernel Selection for Support Vector Machines.
Online Multi-Task Gradient Temporal-Difference Learning.
Inference Graphs: A New Kind of Hybrid Reasoning System.
Coordination of Multiple Teams of Robots for an Optimal Global Plan.
Event Recommendation in Event-Based Social Networks.
Computing Preferences Based on Agents' Beliefs.
Reputation-Aware Continuous Double Auction.
RepRev: Mitigating the Negative Effects of Misreported Ratings.
Identifying Domain-Dependent Influential Microblog Users: A Post-Feature Based Approach.
LSDH: A Hashing Approach for Large-Scale Link Prediction in Microblogs.
Crowdsourced Explanations for Humorous Internet Memes.
Semantical Clustering of Morphologically Related Chinese Words.
Partial Satisfaction Planning under Time Uncertainty with Control on When Objectives Can Be Aborted.
A Novel Single-DBN Generative Model for Optimizing POMDP Controllers by Probabilistic Inference.
Genotypic versus Behavioural Diversity for Teams of Programs under the 4-v-3 Keepaway Soccer Task.
Communication-Restricted Exploration for Small Teams.
Addressing Complexity in Multi-Issue Negotiation via Utility Hypergraphs.
Online Search Algorithm Configuration.
A Model for Aggregating Contributions of Synergistic Crowdsourcing Workflows.
Association Rule Hiding Based on Evolutionary Multi-Objective Optimization by Removing Items.
A Knowledge Representation that Models Memory in Narrative Comprehension.
Advice Provision for Choice Selection Processes with Ranked Options.
Monte-Carlo Simulation Adjusting.
To Share or Not to Share? The Single Agent in a Team Decision Problem.
Social Capital in Network Organizations.
Optimizing and Learning Diffusion Behaviors in Complex Network.
Living and Searching in the World: Object-Based State Estimation for Mobile Robots.
Compilation Based Approaches to Probabilistic Planning - Thesis Summary.
Roles and Teams Hedonic Games.
Probabilistic Planning with Reduced Models.
Automatically Creating Multilingual Lexical Resources.
Modeling Argumentation and Explanation in the Social Web.
The Semantic Interpretation of Trust in Multiagent Interactions.
Robot Team Exploration with Communication Restrictions.
Imputation, Social Choice, and Partial Preferences.
Analogy Tutor: A Tutoring System for Promoting Conceptual Learning via Comparison.
Reinforcement Learning on Multiple Correlated Signals.
Solving Semantic Problems Using Contexts Extracted from Knowledge Graphs.
The Effect of Similarity between Human and Machine Action Choices on Adaptive Automation Performance.
Information Sharing for Care Coordination.
Making CP-Nets (More) Useful.
Model AI Assignments 2014.
Easychair as a Pedagogical Tool: Engaging Graduate Students in the Reviewing Process.
Jim: A Platform for Affective AI in an Interdisciplinary Setting.
Teaching With Watson.
Shallow Blue: Lego-Based Embodied AI as a Platform for Cross-Curricular Project Based Learning.
DOROTHY: Enhancing Bidirectional Communication between a 3D Programming Interface and Mobile Robots.
StrokeBank: Automating Personalized Chinese Handwriting Generation.
Clustering Species Accumulation Curves to Identify Skill Levels of Citizen Scientists Participating in the eBird Project.
A Speech-Driven Second Screen Application for TV Program Discovery.
AI-MIX: Using Automated Planning to Steer Human Workers Towards Better Crowdsourced Plans.
A Schedule Optimization Tool for Destructive and Non-Destructive Vehicle Tests.
A Unified Framework for Augmented Reality and Knowledge-Based Systems in Maintaining Aircraft.
Optimizing a Start-Stop Controller Using Policy Search.
Robust Protection of Fisheries with COmPASS.
Swissnoise: Online Polls with Game-Theoretic Incentives.
STREETS: Game-Theoretic Traffic Patrolling with Exploration and Exploitation.
A Smart Range Helping Cognitively-Impaired Persons Cooking.
Advice Provision for Energy Saving in Automobile Climate Control Systems.
Crowdsourcing for Multiple-Choice Question Answering.
Pattern Discovery in Protein Networks Reveals High-Confidence Predictions of Novel Interactions.
CiteSeerX: AI in a Digital Library Search Engine.
Deploying CommunityCommands: A Software Command Recommender System Case Study.
Evaluation and Deployment of a People-to-People Recommender in Online Dating.
The Quest Draft: An Automated Course Allocation Algorithm.
THink: Inferring Cognitive Status from Subtle Behaviors.
Engineering Works Scheduling for Hong Kong's Rail Network.
Predictive Models for Determining If and When to Display Online Lead Forms.
Locality Preserving Hashing.
Semantic Segmentation Using Multiple Graphs with Block-Diagonal Constraints.
Latent Domains Modeling for Visual Domain Adaptation.
Semantic Graph Construction for Weakly-Supervised Image Parsing.
Low-Rank Tensor Completion with Spatio-Temporal Consistency.
A Generalized Genetic Algorithm-Based Solver for Very Large Jigsaw Puzzles of Complex Types.
Diagram Understanding in Geometry Questions.
On Hair Recognition in the Wild by Machine.
Efficient Object Detection via Adaptive Online Selection of Sensor-Array Elements.
Learning Low-Rank Representations with Classwise Block-Diagonal Structure for Robust Face Recognition.
Sub-Selective Quantization for Large-Scale Image Search.
Learning to Recognize Novel Objects in One Shot through Human-Robot Interactions in Natural Language Dialogues.
Uncorrelated Multi-View Discrimination Dictionary Learning for Recognition.
Locality-Constrained Low-Rank Coding for Image Classification.
Deep Salience: Visual Salience Modeling via Deep Belief Propagation.
Similarity-Preserving Binary Signature for Linear Subspaces.
Grounding Acoustic Echoes in Single View Geometry Estimation.
Towards Topological-Transformation Robust Shape Comparison: A Sparse Representation Based Manifold Embedding Approach.
Exploiting Competition Relationship for Robust Visual Recognition.
Cached Iterative Weakening for Optimal Multi-Way Number Partitioning.
Avoiding Plagiarism in Markov Sequence Generation.
Fast Consistency Checking of Very Large Real-World RCC-8 Constraint Networks Using Graph Partitioning.
Maximum Satisfiability Using Core-Guided MaxSAT Resolution.
A Propagator Design Framework for Constraints over Sequences.
Double Configuration Checking in Stochastic Local Search for Satisfiability.
Boosting SBDS for Partial Symmetry Breaking in Constraint Programming.
Preprocessing for Propositional Model Counting.
DJAO: A Communication-Constrained DCOP Algorithm that Combines Features of ADOPT and Action-GDL.
A Support-Based Algorithm for the Bi-Objective Pareto Constraint.
An Experimentally Efficient Method for (MSS, CoMSS) Partitioning.
A Reasoner for the RCC-5 and RCC-8 Calculi Extended with Constants.
Backdoors into Heterogeneous Classes of SAT and CSP.
Diagnosing Analogue Linear Systems Using Dynamic Topological Reconfiguration.
Linear-Time Filtering Algorithms for the Disjunctive Constraint.
Q-Intersection Algorithms for Constraint-Based Robust Parameter Estimation.
Tailoring Local Search for Partial MaxSAT.
Propagating Regular Counting Constraints.
Non-Restarting SAT Solvers with Simple Preprocessing Can Efficiently Simulate Resolution.
Adaptive Singleton-Based Consistencies.
MaxSAT by Improved Instance-Specific Algorithm Configuration.
GP-Localize: Persistent Mobile Robot Localization Using Online Sparse Gaussian Process Observation Model.
Qualitative Planning with Quantitative Constraints for Online Learning of Robotic Behaviours.
Schedule-Based Robotic Search for Multiple Residents in a Retirement Home Environment.
Robust Visual Robot Localization Across Seasons Using Network Flows.
Learning from Unscripted Deictic Gesture and Language for Human-Robot Interactions.
Optimal and Efficient Stochastic Motion Planning in Partially-Known Environments.
Minimising Undesired Task Costs in Multi-Robot Task Allocation Problems with In-Schedule Dependencies.
Generalizing Policy Advice with Gaussian Process Bandits for Dynamic Skill Improvement.
A Framework for Task Planning in Heterogeneous Multi Robot Systems Based on Robot Capabilities.
Efficient Optimization for Autonomous Robotic Manipulation of Natural Objects.
Point-Based POMDP Solving with Factored Value Function Approximation.
Decentralized Stochastic Planning with Anonymity in Interactions.
Approximate Lifting Techniques for Belief Propagation.
Explanation-Based Approximate Weighted Model Counting for Probabilistic Logics.
An Adversarial Interpretation of Information-Theoretic Bounded Rationality.
R2: An Efficient MCMC Sampler for Probabilistic Programs.
Tractability through Exchangeability: A New Perspective on Efficient Probabilistic Inference.
Predicting the Hardness of Learning Bayesian Networks.
Relational One-Class Classification: A Non-Parametric Approach.
State Aggregation in Monte Carlo Tree Search.
Tightening Bounds for Bayesian Network Structure Learning.
Finding the k-best Equivalence Classes of Bayesian Network Structures for Model Averaging.
Testable Implications of Linear Structural Equation Models.
Tree-Based On-Line Reinforcement Learning.
Recovering from Selection Bias in Causal and Statistical Inference.
Lifting Relational MAP-LPs Using Cluster Signatures.
Type-Based Exploration with Multiple Search Queues for Satisficing Planning.
Adding Local Exploration to Greedy Best-First Search in Satisficing Planning.
Optimal Decoupling in Linear Constraint Systems.
A Relevance-Based Compilation Method for Conformant Probabilistic Planning.
Saturated Path-Constrained MDP: Planning under Uncertainty and Deterministic Model-Checking Constraints.
Generalized Label Reduction for Merge-and-Shrink Heuristics.
Efficiently Implementing GOLOG with Answer Set Programming.
Cost-Based Query Optimization via AI Planning.
Parametrized Families of Hard Planning Problems from Phase Transitions.
A Scheduler for Actions with Iterated Durations.
Computing Contingent Plans via Fully Observable Non-Deterministic Planning.
Symbolic Domain Predictive Control.
A Simple Polynomial-Time Randomized Distributed Algorithm for Connected Row Convex Constraints.
Backdoors to Planning.
Grandpa Hates Robots - Interaction Constraints for Planning in Inhabited Environments.
Solving Uncertain MDPs by Reusing State Information and Plans.
Delivering Guaranteed Display Ads under Reach and Frequency Requirements.
Solving the Traveling Tournament Problem by Packing Three-Vertex Paths.
Chance-Constrained Probabilistic Simple Temporal Problems.
Structured Possibilistic Planning Using Decision Diagrams.
Scheduling for Transfers in Pickup and Delivery Problems with Very Large Neighborhood Search.
Using Timed Game Automata to Synthesize Execution Strategies for Simple Temporal Networks with Uncertainty.
Flexible and Scalable Partially Observable Planning with Linear Translations.
Planning as Model Checking in Hybrid Domains.
Oversubscription Planning: Complexity and Compilability.
Hybrid Heterogeneous Transfer Learning through Deep Learning.
Gradient Descent with Proximal Average for Nonconvex and Composite Regularization.
Robust Bayesian Inverse Reinforcement Learning with Sparse Behavior Noise.
Novel Density-Based Clustering Algorithms for Uncertain Data.
Multi-Instance Learning with Distribution Change.
Large-Scale Supervised Multimodal Hashing with Semantic Correlation Maximization.
Online Classification Using a Voted RDA Method.
Efficient Generalized Fused Lasso and its Application to the Diagnosis of Alzheimer's Disease.
Supervised Hashing for Image Retrieval via Image Representation Learning.
Robust Multi-View Spectral Clustering via Low-Rank and Sparse Decomposition.
Learning Relative Similarity by Stochastic Dual Coordinate Ascent.
Small-Variance Asymptotics for Dirichlet Process Mixtures of SVMs.
The Role of Dimensionality Reduction in Classification.
Using The Matrix Ridge Approximation to Speedup Determinantal Point Processes Sampling Algorithms.
Exact Subspace Clustering in Linear Time.
Improving Semi-Supervised Target Alignment via Label-Aware Base Kernels.
Cross-Domain Metric Learning Based on Information Theory.
Reconsidering Mutual Information Based Feature Selection: A Statistical Significance View.
Locality Preserving Projection for Domain Adaptation with Multi-Objective Learning.
Sparse Compositional Metric Learning.
A Hybrid Grammar-Based Approach for Learning and Recognizing Natural Hand Gestures.
Online Multi-Task Learning via Sparse Dictionary Optimization.
On Boosting Sparse Parities.
Anytime Active Learning.
Bagging by Design (on the Suboptimality of Bagging).
Evolutionary Dynamics of Q-Learning over the Sequence Form.
Robust Non-Negative Dictionary Learning.
Online and Stochastic Learning with a Human Cognitive Bias.
Labeling Complicated Objects: Multi-View Multi-Instance Multi-Label Learning.
Semantic Data Representation for Improving Tensor Factorization.
Mixing-Time Regularized Policy Gradient.
Convex Co-embedding.
Pre-Trained Multi-View Word Embedding Using Two-Side Neural Network.
Sample-Adaptive Multiple Kernel Learning.
Partial Multi-View Clustering.
Manifold Learning for Jointly Modeling Topic and Visualization.
Wormhole Hamiltonian Monte Carlo.
Scalable Sparse Covariance Estimation via Self-Concordance.
Feature-Cost Sensitive Learning with Submodular Trees of Classifiers.
Constructing Symbolic Representations for High-Level Planning.
Pairwise-Covariance Linear Discriminant Analysis.
Non-Convex Feature Learning via L_{p, inf} Operator.
Spectral Thompson Sampling.
Power Iterated Color Refinement.
Monte Carlo Filtering Using Kernel Embedding of Distributions.
Imitation Learning with Demonstrations and Shaping Rewards.
Intra-View and Inter-View Supervised Correlation Analysis for Multi-View Feature Learning.
Adaptation-Guided Case Base Maintenance.
Fast Multi-Instance Multi-Label Learning.
Deep Modeling of Group Preferences for Group-Based Recommendation.
Encoding Tree Sparsity in Multi-Task Learning: A Probabilistic Framework.
Signed Laplacian Embedding for Supervised Dimension Reduction.
ReLISH: Reliable Label Inference via Smoothness Hypothesis.
Kernelized Bayesian Transfer Learning.
Coactive Learning for Locally Optimal Problem Solving.
Large-Scale Optimistic Adaptive Submodularity.
Active Learning for Crowdsourcing Using Knowledge Transfer.
Learning Instance Concepts from Multiple-Instance Data with Bags as Distributions.
HC-Search for Multi-Label Prediction: An Empirical Study.
Non-Linear Label Ranking for Large-Scale Prediction of Long-Term User Interests.
Finding Median Point-Set Using Earth Mover's Distance.
Learning the Structure of Probabilistic Graphical Models with an Extended Cascading Indian Buffet Process.
Natural Temporal Difference Learning.
Learning with Augmented Class by Exploiting Unlabeled Data.
Dropout Training for Support Vector Machines.
A Local Non-Negative Pursuit Method for Intrinsic Manifold Structure Preservation.
Echo-State Conditional Restricted Boltzmann Machines.
Dynamic Bayesian Probabilistic Matrix Factorization.
Distribution-Aware Sampling and Weighted Model Counting for SAT.
LASS: A Simple Assignment Model with Laplacian Smoothing.
Manifold Spanning Graphs.
PAC Rank Elicitation through Adaptive Sampling of Stochastic Pairwise Preferences.
Optimal Neighborhood Preserving Visualization by Maximum Satisfiability.
Combining Multiple Correlated Reward and Shaping Signals by Measuring Confidence.
Multilabel Classification with Label Correlations and Missing Labels.
Active Learning with Model Selection.
Supervised Transfer Sparse Coding.
Mind the Gap: Machine Translation by Minimizing the Semantic Gap in Embedding Space.
Detecting Information-Dense Texts in Multiple News Domains.
Lifetime Lexical Variation in Social Media.
SUIT: A Supervised User-Item Based Topic Model for Sentiment Analysis.
Extracting Keyphrases from Research Papers Using Citation Networks.
Chinese Zero Pronoun Resolution: An Unsupervised Approach Combining Ranking and Integer Linear Programming.
Chinese Overt Pronoun Resolution: A Bilingual Approach.
Semi-Supervised Matrix Completion for Cross-Lingual Text Classification.
Instance-Based Domain Adaptation in NLP via In-Target-Domain Logistic Approximation.
Fused Feature Representation Discovery for High-Dimensional and Sparse Data.
Learning Concept Embeddings for Query Expansion by Quantum Entropy Minimization.
On Dataless Hierarchical Text Classification.
Learning Word Representation Considering Proximity and Ambiguity.
Learning Scripts as Hidden Markov Models.
Unsupervised Alignment of Natural Language Instructions with Video Segments.
Prediction of Helpful Reviews Using Emotions Extraction.
Collaborative Models for Referring Expression Generation in Situated Dialogue.
Adaptive Multi-Compositionality for Recursive Neural Models with Applications to Sentiment Analysis.
Improving Domain-independent Cloud-Based Speech Recognition with Domain-Dependent Phonetic Post-Processing.
Joint Morphological Generation and Syntactic Linearization.
SenticNet 3: A Common and Common-Sense Knowledge Base for Cognition-Driven Sentiment Analysis.
Scalable Complex Contract Negotiation with Structured Search and Agenda Management.
Solving Zero-Sum Security Games in Discretized Spatio-Temporal Domains.
Regret-Based Multi-Agent Coordination with Uncertain Task Rewards.
Give a Hard Problem to a Diverse Team: Exploring Large Action Spaces.
Multiagent Metareasoning through Organizational Design.
Theory of Cooperation in Complex Social Networks.
A Game-Theoretic Analysis of Catalog Optimization.
Online (Budgeted) Social Choice.
Decentralized Multi-Agent Reinforcement Learning in Average-Reward Dynamic DCOPs.
Congestion Games for V2G-Enabled EV Charging.
Internally Stable Matchings and Exchanges.
Symbolic Model Checking Epistemic Strategy Logic.
On Computing Optimal Strategies in Open List Proportional Representation: The Two Parties Case.
Multi-Organ Exchange: The Whole Is Greater than the Sum of its Parts.
The Computational Rise and Fall of Fairness.
Prices Matter for the Parameterized Complexity of Shift Bribery.
Robust Winners and Winner Determination Policies under Candidate Uncertainty.
Dynamic Multi-Agent Task Allocation with Spatial and Temporal Constraints.
Accurate Integration of Aerosol Predictions by Smoothing on a Manifold.
Sequential Click Prediction for Sponsored Search with Recurrent Neural Networks.
Hybrid Singular Value Thresholding for Tensor Completion.
Feature Selection at the Discrete Limit.
Decomposing Activities of Daily Living to Discover Routine Clusters.
Privacy and Regression Model Preserved Learning.
Adaptive Knowledge Transfer for Multiple Instance Learning in Image Classification.
Globally and Locally Consistent Unsupervised Projection.
Robust Distance Metric Learning in the Presence of Label Noise.
Identifying Differences in Physician Communication Styles with a Log-Linear Transition Component Model.
Evaluating Trauma Patients: Addressing Missing Covariates with Joint Optimization.
Agent Behavior Prediction and Its Generalization Analysis.
Learning Deep Representations for Graph Clustering.
Doubly Regularized Portfolio with Risk Minimization.
Generalized Higher-Order Tensor Decomposition via Parallel ADMM.
Learning Latent Engagement Patterns of Students in Online Courses.
Discovering Better AAAI Keywords via Clustering with Community-Sourced Constraints.
Direct Semantic Analysis for Social Image Classification.
Proximal Iteratively Reweighted Algorithm with Multiple Splitting for Nonconvex Sparsity Optimization.
Automatic Construction and Natural-Language Description of Nonparametric Regression Models.
Ranking Tweets by Labeled and Collaboratively Selected Pairs with Transitive Closure.
Low-Rank Tensor Learning with Discriminant Analysis for Action Classification and Image Recovery.
User Intent Identification from Online Discussions Using a Joint Aspect-Action Topic Model.
Calibration-Free BCI Based Control.
SOML: Sparse Online Metric Learning with Application to Image Retrieval.
On the Challenges of Physical Implementations of RBMs.
Latent Low-Rank Transfer Subspace Learning for Missing Modality Recognition.
Online Portfolio Selection with Group Sparsity.
Predicting Postoperative Atrial Fibrillation from Independent ECG Components.
A Convex Formulation for Semi-Supervised Multi-Label Feature Selection.
Accurate Household Occupant Behavior Modeling Based on Data Mining Techniques.
A Spatially Sensitive Kernel to Predict Cognitive Performance from Short-Term Changes in Neural Structure.
Contraction and Revision over DL-Lite TBoxes.
Pay-As-You-Go OWL Query Answering Using a Triple Store.
Using Model-Based Diagnosis to Improve Software Testing.
Local-to-Global Consistency Implies Tractability of Abduction.
Abduction Framework for Repairing Incomplete EL Ontologies: Complexity Results and Algorithms.
Knowledge Graph Embedding by Translating on Hyperplanes.
Computing General First-Order Parallel and Prioritized Circumscription.
The Most Uncreative Examinee: A First Step toward Wide Coverage Natural Language Math Problem Solving.
A Parameterized Complexity Analysis of Generalized CP-Nets.
Qualitative Reasoning with Modelica Models.
Datalog Rewritability of Disjunctive Datalog Programs and its Applications to Ontology Reasoning.
A Constructive Argumentation Framework.
Elementary Loops Revisited.
The Complexity of Reasoning with FODD and GFODD.
A Knowledge Compilation Map for Ordered Real-Valued Decision Diagrams.
Exploiting Support Sets for Answer Set Programs with External Evaluations.
A Tractable Approach to ABox Abduction over Description Logic Ontologies.
Reasoning on LTL on Finite Traces: Insensitivity to Infiniteness.
Data Quality in Ontology-based Data Access: The Case of Consistency.
Exploring the Boundaries of Decidable Verification of Non-Terminating Golog Programs.
Capturing Relational Schemas and Functional Dependencies in RDFS.
Querying Inconsistent Description Logic Knowledge Bases under Preferred Repair Semantics.
PREGO: An Action Language for Belief-Based Cognitive Robotics in Continuous Domains.
Pathway Specification and Comparative Queries: A High Level Language with Petri Net Semantics.
The Computational Complexity of Structure-Based Causality.
Managing Change in Graph-Structured Data Using Description Logics.
Role-Aware Conformity Modeling and Analysis in Social Networks.
Sketch Recognition with Natural Correction and Editing.
Dramatis: A Computational Model of Suspense.
A Strategy-Aware Technique for Learning Behaviors from Discrete Human Feedback.
Ordering Effects and Belief Adjustment in the Use of Comparison Shopping Agents.
Can Agent Development Affect Developer's Strategy?
Leveraging Fee-Based, Imperfect Advisors in Human-Agent Games of Trust.
Signals in the Silence: Models of Implicit Feedback in a Recommendation System for Crowdsourcing.
Acquiring Commonsense Knowledge for Sentiment Analysis through Human Computation.
Sparse Learning for Stochastic Composite Optimization.
Worst-Case Solution Quality Analysis When Not Re-Expanding Nodes in Best-First Search.
Identifying Hierarchies for Fast Optimal Search.
Exponential Deepening A* for Real-Time Agent-Centered Search.
Elimination Ordering in Lifted First-Order Probabilistic Inference.
Simpler Bounded Suboptimal Search.
Designing Fast Absorbing Markov Chains.
Parallel Restarted Search.
Relaxation Search: A Simple Way of Managing Optional Clauses.
Game-Theoretic Resource Allocation for Protecting Large Public Events.
Incentivizing High-Quality Content from Heterogeneous Users: On the Existence of Nash Equilibrium.
A Strategy-Proof Online Auction with Time Discounting Values.
Strategyproof Exchange with Multiple Private Endowments.
Beat the Cheater: Computing Game-Theoretic Strategies for When to Kick a Gambler out of a Casino.
Two Case Studies for Trading Multiple Indivisible Goods with Indifferences.
Bounding the Support Size in Extensive Form Games with Imperfect Information.
Equilibria in Epidemic Containment Games.
Incentives for Truthful Information Elicitation of Continuous Signals.
On the Structure of Synergies in Cooperative Games.
Regret-Based Optimization and Preference Elicitation for Stackelberg Security Games with Uncertainty.
Item Bidding for Combinatorial Public Projects.
Incomplete Preferences in Single-Peaked Electorates.
Betting Strategies, Market Selection, and the Wisdom of Crowds.
Envy-Free Division of Sellable Goods.
A Multiarmed Bandit Incentive Mechanism for Crowdsourcing Demand Response in Smart Grids.
A Control Dichotomy for Pure Scoring Rules.
Increasing VCG Revenue by Decreasing the Quality of Items.
Voting with Rank Dependent Scoring Rules.
Mechanism Design for Mobile Geo-Location Advertising.
Potential-Aware Imperfect-Recall Abstraction with Earth Mover's Distance in Imperfect-Information Games.
On the Axiomatic Characterization of Runoff Voting Rules.
Binary Aggregation by Selection of the Most Representative Voters.
On Detecting Nearly Structured Preference Profiles.
A Characterization of the Single-Peaked Single-Crossing Domain.
Preference Elicitation and Interview Minimization in Stable Matchings.
New Models for Competitive Contagion.
Using Response Functions to Measure Strategy Strength.
Mechanism Design for Scheduling with Uncertain Execution Time.
Modal Ranking: A Uniquely Robust Voting Rule.
Biased Games.
Solving Imperfect Information Games Using Decomposition.
Regret Transfer and Parameter Optimization.
The Fisher Market Game: Equilibrium and Welfare.
Extending Tournament Solutions.
Lazy Defenders Are Almost Optimal against Diligent Attackers.
Simultaneous Cake Cutting.
A Generalization of Probabilistic Serial to Randomized Social Choice.
Fixing a Balanced Knockout Tournament.
On the Incompatibility of Efficiency and Strategyproofness in Randomized Social Choice.
False-Name Bidding and Economic Efficiency in Combinatorial Auctions.
Automatic Game Design via Mechanic Generation.
Generating Content for Scenario-Based Serious-Games Using CrowdSourcing.
Solving the Inferential Frame Problem in the General Game Description Language.
Approximate Equilibrium and Incentivizing Social Coordination.
A Latent Variable Model for Discovering Bird Species Commonly Misidentified by Citizen Scientists.
Modeling and Mining Spatiotemporal Patterns of Infection Risk from Heterogeneous Data for Active Surveillance Planning.
Contextually Supervised Source Separation with Application to Energy Disaggregation.
Rounded Dynamic Programming for Tree-Structured Stochastic Network Design.
Effective Management of Electric Vehicle Storage Using Smart Charging.
TacTex'13: A Champion Adaptive Power Trading Agent.
Intelligent System for Urban Emergency Management during Large-Scale Disaster.
Efficient Buyer Groups for Prediction-of-Use Electricity Tariffs.
Supervised Scoring with Monotone Multidimensional Splines.
Challenges in Materials Discovery - Synthetic Generator and Real Datasets.
Spatial Scan for Disease Mapping on a Mobile Population.
A Region-Based Model for Estimating Urban Air Pollution.
Placement of Loading Stations for Electric Vehicles: No Detours Necessary!
Spatio-Temporal Consistency as a Means to Identify Unlabeled Objects in a Continuous Data Field.
Social Planning: Achieving Goals by Altering Others' Mental States.
Learning Unknown Event Models.
Learning Goal-Oriented Hierarchical Tasks from Situated Interactive Instruction.
Confident Reasoning on Raven's Progressive Matrices Tests.
Using Narrative Function to Extract Qualitative Information from Natural Language Texts.
Learning Compositional Sparse Models of Bimodal Percepts.
Large-Scale Analogical Reasoning.
An Agent-Based Model Studying the Acquisition of a Language System of Logical Constructions.
Efficient Codes for Inverse Dynamics During Walking.
The Importance of Cognition and Affect for Artificially Intelligent Decision Makers.
Modeling Subjective Experience-Based Learning under Uncertainty and Frames.
k-CoRating: Filling Up Data to Obtain Privacy and Utility.
Forecasting Potential Diabetes Complications.
How Do Your Friends on Social Media Disclose Your Emotions?
Joule Counting Correction for Electric Vehicles Using Artificial Neural Networks.
Modeling and Predicting Popularity Dynamics via Reinforced Poisson Processes.
Programming by Example Using Least General Generalizations.
A Machine Learning Approach to Musically Meaningful Homogeneous Style Classification.
Where and Why Users "Check In".
Huffman Coding for Storing Non-Uniformly Distributed Messages in Networks of Neural Cliques.
GenEth: A General Ethical Dilemma Analyzer.
Synthesis of Geometry Proof Problems.
Trust Prediction with Propagation and Similarity Regularization.
Learning Temporal Dynamics of Behavior Propagation in Social Networks.
Recommendation by Mining Multiple User Behaviors with Group Sparsity.
A Joint Optimization Model for Image Summarization Based on Image Content and Tags.
Capturing Difficulty Expressions in Student Online Q&A Discussions.
Cross-View Feature Learning for Scalable Social Image Analysis.
Quality-Based Learning for Web Data Classification.
Emotion Classification in Microblog Texts Using Class Sequential Rules.
Cross-Lingual Knowledge Validation Based Taxonomy Derivation from Heterogeneous Online Wikis.
Who Also Likes It? Generating the Most Persuasive Social Explanations in Recommender Systems.
Acquiring Comparative Commonsense Knowledge from the Web.
Mapping Users across Networks by Manifold Alignment on Hypergraph.
Stochastic Privacy.
Combining Heterogenous Social and Geographical Information for Event Recommendation.
Fast and Accurate Influence Maximization on Large Networks with Pruned Monte-Carlo Simulations.
Parallel Materialisation of Datalog Programs in Centralised, Main-Memory RDF Systems.
Source Free Transfer Learning for Text Classification.
Compact Aspect Embedding for Diversified Query Expansions.
Fraudulent Support Telephone Number Identification Based on Co-Occurrence Information on the Web.
Learning Parametric Models for Social Infectivity in Multi-Dimensional Hawkes Processes.
ARIA: Asymmetry Resistant Instance Alignment.
Towards Scalable Exploration of Diagnoses in an Ontology Stream.
How Long Will It Take? Accurate Prediction of Ontology Reasoning Performance.
Predicting Emotions in User-Generated Videos.
User Group Oriented Temporal Dynamics Exploration.
Online Social Spammer Detection.
Experiments on Visual Information Extraction with the Faces of Wikipedia.
CoreCluster: A Degeneracy Based Graph Clustering Framework.
Influence Maximization with Novelty Decay in Social Networks.
Leveraging Decomposed Trust in Probabilistic Matrix Factorization for Effective Recommendation.
Machine Translation with Real-Time Web Search.
Improving Context and Category Matching for Entity Search.
Context-Aware Collaborative Topic Regression with Social Matrix Factorization for Recommender Systems.
TopicMF: Simultaneously Exploiting Ratings and Reviews for Recommendation.
