aaai 2011 论文列表
Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, AAAI 2011, San Francisco, California, USA, August 7-11, 2011.
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Hekateros: A Desktop 5 Degree-of-Freedom Robot Arm for the Small-Scale Manipulation Robot Chess Challenge.
Approaches to Multi-Robot Exploration and Localization.
Learning from Demonstration in Spatial Exploration.
Lego Plays Chess: A Low-Cost, Low-Complexity Approach to Intelligent Robotics.
A Robotics Environment for Software Engineering Courses.
Playing Chess with a Human-Scale Mobile Manipulator.
Can Quadrotors Succeed as an Educational Platform?
Learning Tasks and Skills Together From a Human Teacher.
Discovering Latent Strategies.
A Local Monte Carlo Tree Search Approach in Deterministic Planning.
Adaptive Neighborhood Inverse Consistency as Lookahead for Non-Binary CSPs.
Modeling Opponent Actions for Table-Tennis Playing Robot.
Online Updating the Generalized Inverse of Centered Matrices.
Solution Quality Improvements for Massively Multi-Agent Pathfinding.
A Framework for Integration of Logical and Probabilistic Knowledge.
A Bayesian Reinforcement Learning framework Using Relevant Vector Machines.
On the Effectiveness of Belief State Representation in Contingent Planning.
Convergence Properties of (μ + λ) Evolutionary Algorithms.
Using Partitions and Superstrings for Lossless Compression of Pattern Databases.
Web Personalization and Cohort Information Services for Natural Resource Managers.
Evolution of Node Behavior in Link Prediction.
An Intelligent System for Prolonging Independent Living of Elderly.
Generating Explanations for Complex Biomedical Queries.
An Efficient and Complete Approach for Cooperative Path-Finding.
An Empirical Study of Bagging Predictors for Different Learning Algorithms.
Time Complexity of Iterative-Deepening A*: The Informativeness Pathology (Abstract).
Toward Learning to Solve Insertion Tasks: A Developmental Approach Using Exploratory Behaviors and Proprioception.
An Event-Based Framework for Process Inference.
Multiple-Instance Learning: Multiple Feature Selection on Instance Representation.
Extending the Applications of Recent Real-Time Heuristic Search.
Exact Phase Transitions and Approximate Algorithm of #CSP.
On the Discovery and Utility of Precedence Constraints in Temporal Planning.
Large Scale Diagnosis Using Associations between System Outputs and Components.
Using Conditional Random Fields to Exploit Token Structure and Labels for Accurate Semantic Annotation.
Role-Based Ad Hoc Teamwork.
Hybrid Tractable Classes of Binary Quantified Constraint Satisfaction Problems.
Efficient Issue-Grouping Approach for Multi-Issues Negotiation between Exaggerator Agents.
Optimal Subset Selection for Active Learning.
Probabilistic Plan Graph Heuristic for Probabilistic Planning.
Conflict-Driven Constraint Answer Set Solving with Lazy Nogood Generation.
Can Collective Sentiment Expressed on Twitter Predict Political Elections?
Using Neural Networks for Evaluation in Heuristic Search Algorithm.
Heuristic Planning in Adversarial Dynamic Domains.
Dynamic Batch Mode Active Learning via L1 Regularization.
Provoking Opponents to Facilitate the Recognition of their Intentions.
Reconstructing the Stochastic Evolution Diagram of Dynamic Complex Systems.
Ad Hoc Teamwork in Variations of the Pursuit Domain.
Solving 4x5 Dots-And-Boxes.
Controlling Selection Bias in Causal Inference.
Medical Treatment Conflict Resolving in Answer Set Programming.
Assessing Quality in the Web of Linked Sensor Data.
Learning Compact Representations of Time-Varying Processes.
Incentive-Compatible Trust Mechanisms.
Learning Sensor, Space and Object Geometry.
Modeling the Effects of Emotion on Cognition.
Learning with Imprecise Classes, Rare Instances, and Complex Relationships.
Pruning Techniques in Search and Planning.
Scaling Up Game Theory: Achievable Set Methods for Efficiently Solving Stochastic Games of Complete and Incomplete Information.
Predicting Text Quality for Scientific Articles.
Designing Water Efficient Residential Landscapes with Agent-Based Modeling.
A Probabilistic Trust and Reputation Model for Supply Chain Management.
Developing a Language for Spoken Programming.
Ensemble Classification for Relational Domains.
Long-Term Declarative Memory for Generally Intelligent Agents.
Model Update for Automated Planning.
Joint Inference for Extracting Text Descriptors from Triage Images of Mass Disaster Victims.
The AC(C) Language: Integrating Answer Set Programming and Constraint Logic Programming.
Self-Aware Traffic Route Planning.
Balancing Safety and Exploitability in Opponent Modeling.
Understanding Natural Language Commands for Robotic Navigation and Mobile Manipulation.
Learning Accuracy and Availability of Humans Who Help Mobile Robots.
Continuous Occupancy Mapping with Integral Kernels.
DISCO: Describing Images Using Scene Contexts and Objects.
Recognizing Text Through Sound Alone.
A Scalable Tree-Based Approach for Joint Object and Pose Recognition.
Autonomous Skill Acquisition on a Mobile Manipulator.
Multi-Observation Sensor Resetting Localization with Ambiguous Landmarks.
End-User Feature Labeling via Locally Weighted Logistic Regression.
Recommendation Sets and Choice Queries: There Is No Exploration/Exploitation Tradeoff!
Termination and Correctness Analysis of Cyclic Control.
Planning with Specialized SAT Solvers.
A POMDP-Based Optimal Control of P300-Based Brain-Computer Interfaces.
Two Visual Strategies for Solving the Raven's Progressive Matrices Intelligence Test.
Design and Analysis of Value Creation Networks.
Quantity Makes Quality: Learning with Partial Views.
New Expressive Languages for Ontological Query Answering.
The Next Best Solution.
Global Seismic Monitoring: A Bayesian Approach.
Effective End-User Interaction with Machine Learning.
Cross Media Entity Extraction and Linkage for Chemical Documents.
Combining Learned Discrete and Continuous Action Models.
Contextually-Based Utility: An Appraisal-Based Approach at Modeling Framing and Decisions.
Cognitive Synergy between Procedural and Declarative Learning in the Control of Animated and Robotic Agents Using the OpenCogPrime AGI Architecture.
Analogical Dialogue Acts: Supporting Learning by Reading Analogies in Instructional Texts.
Decentralised Control of Micro-Storage in the Smart Grid.
Discovering Life Cycle Assessment Trees from Impact Factor Databases.
Verifying Intervention Policies to Counter Infection Propagation over Networks: A Model Checking Approach.
Efficient Energy-Optimal Routing for Electric Vehicles.
Learned Behaviors of Multiple Autonomous Agents in Smart Grid Markets.
Modeling and Monitoring Crop Disease in Developing Countries.
Logistic Methods for Resource Selection Functions and Presence-Only Species Distribution Models.
Linear Dynamic Programs for Resource Management.
Stochastic Model Predictive Controller for the Integration of Building Use and Temperature Regulation.
Hybrid Planning with Temporally Extended Goals for Sustainable Ocean Observing.
The Steiner Multigraph Problem: Wildlife Corridor Design for Multiple Species.
A Large-Scale Study on Predicting and Contextualizing Building Energy Usage.
Incorporating Boosted Regression Trees into Ecological Latent Variable Models.
Water Conservation Through Facilitation on Residential Landscapes.
Dynamic Resource Allocation in Conservation Planning.
Policy Gradient Planning for Environmental Decision Making with Existing Simulators.
Enforcing Liveness in Autonomous Traffic Management.
Green Driver: AI in a Microcosm.
Heterogeneous Transfer Learning for Image Classification.
Learning to Suggest Questions in Online Forums.
Propagating Both Trust and Distrust with Target Differentiation for Combating Web Spam.
Transfer Learning for Multiple-Domain Sentiment Analysis - Identifying Domain Dependent/Independent Word Polarity.
Temporal Dynamics of User Interests in Tagging Systems.
Analyzing and Predicting Not-Answered Questions in Community-based Question Answering Services.
SemRec: A Semantic Enhancement Framework for Tag Based Recommendation.
Predicting Author Blog Channels with High Value Future Posts for Monitoring.
Integrating Community Question and Answer Archives.
CCRank: Parallel Learning to Rank with Cooperative Coevolution.
Creative Introspection and Knowledge Acquisition.
Cross-Language Latent Relational Search: Mapping Knowledge across Languages.
Generating True Relevance Labels in Chinese Search Engine Using Clickthrough Data.
Trust Transitivity in Complex Social Networks.
Personalizing Your Web Services with Constructive DL Reasoning Join.
Towards Large-Scale Collaborative Planning: Answering High-Level Search Queries Using Human Computation.
Understanding User Migration Patterns in Social Media.
Continual Planning with Sensing for Web Service Composition.
Fast Query Recommendation by Search.
Active Dual Collaborative Filtering with Both Item and Attribute Feedback.
Commonsense Causal Reasoning Using Millions of Personal Stories.
Maximum Entropy Context Models for Ranking Biographical Answers to Open-Domain Definition Questions.
Identifying Missing Node Information in Social Networks.
Towards Practical ABox Abduction in Large OWL DL Ontologies.
Artificial Intelligence for Artificial Artificial Intelligence.
User-Controllable Learning of Location Privacy Policies With Gaussian Mixture Models.
A Whole Page Click Model to Better Interpret Search Engine Click Data.
Detecting Multilingual and Multi-Regional Query Intent in Web Search.
Learning Dimensional Descent for Optimal Motion Planning in High-dimensional Spaces.
Complete Information Pursuit Evasion in Polygonal Environments.
Online Graph Pruning for Pathfinding On Grid Maps.
Optimal Route Planning for Electric Vehicles in Large Networks.
Comparing Action-Query Strategies in Semi-Autonomous Agents.
Automated Abstractions for Patrolling Security Games.
Multiagent Patrol Generalized to Complex Environmental Conditions.
Utilizing Partial Policies for Identifying Equivalence of Behavioral Models.
Fast Parallel and Adaptive Updates for Dual-Decomposition Solvers.
Abductive Markov Logic for Plan Recognition.
When to Stop? That Is the Question.
Memory-Efficient Dynamic Programming for Learning Optimal Bayesian Networks.
Coarse-to-Fine Inference and Learning for First-Order Probabilistic Models.
Stopping Rules for Randomized Greedy Triangulation Schemes.
Dual Decomposition for Marginal Inference.
Efficient Methods for Lifted Inference with Aggregate Factors.
Conjunctive Representations in Contingent Planning: Prime Implicates Versus Minimal CNF Formula.
Extending Classical Planning Heuristics to Probabilistic Planning with Dead-Ends.
Qualitative Numeric Planning.
Exploiting Problem Symmetries in State-Based Planners.
On Improving Conformant Planners by Analyzing Domain-Structures.
Improving Cost-Optimal Domain-Independent Symbolic Planning.
A Novel Technique for Avoiding Plateaus of Greedy Best-First Search in Satisficing Planning.
The Inter-League Extension of the Traveling Tournament Problem and its Application to Sports Scheduling.
Exploiting Path Refinement Abstraction in Domain Transition Graphs.
A Switching Planner for Combined Task and Observation Planning.
Recognizing Plans with Loops Represented in a Lexicalized Grammar.
A POMDP Model of Eye-Hand Coordination.
Generating Diverse Plans Using Quantitative and Qualitative Plan Distance Metrics.
Planning for Operational Control Systems with Predictable Exogenous Events.
Identifying Evaluative Sentences in Online Discussions.
WikiSimple: Automatic Simplification of Wikipedia Articles.
Tree Sequence Kernel for Natural Language.
Integrating Clustering and Multi-Document Summarization by Bi-Mixture Probabilistic Latent Semantic Analysis (PLSA) with Sentence Bases.
Exploiting Phase Transition in Latent Networks for Clustering.
Using Semantic Cues to Learn Syntax.
Enhancing Semantic Role Labeling for Tweets Using Self-Training.
Partially Supervised Text Classification with Multi-Level Examples.
Semantic Relatedness Using Salient Semantic Analysis.
Lossy Conservative Update (LCU) Sketch: Succinct Approximate Count Storage.
Leveraging Wikipedia Characteristics for Search and Candidate Generation in Question Answering.
A Simple and Effective Unsupervised Word Segmentation Approach.
Learning to Interpret Natural Language Navigation Instructions from Observations.
Co-Training as a Human Collaboration Policy.
Reasoning About General Games Described in GDL-II.
The Epistemic Logic Behind the Game Description Language.
Intrinsic Chess Ratings.
Human Spatial Relational Reasoning: Processing Demands, Representations, and Cognitive Model.
Composite Social Network for Predicting Mobile Apps Installation.
Bayesian Learning of Generalized Board Positions for Improved Move Prediction in Computer Go.
Comparing Agents' Success against People in Security Domains.
Social Relations Model for Collaborative Filtering.
Grammatical Error Detection for Corrective Feedback Provision in Oral Conversations.
First-Order Logic with Counting for General Game Playing.
Finding Answers and Generating Explanations for Complex Biomedical Queries.
Co-Evolution of Selection and Influence in Social Networks.
The Influence of Emotion Expression on Perceptions of Trustworthiness in Negotiation.
Coordinated Multi-Agent Reinforcement Learning in Networked Distributed POMDPs.
Risk-Averse Strategies for Security Games with Execution and Observational Uncertainty.
Incentive-Compatible Escrow Mechanisms.
Dominant-Strategy Auction Design for Agents with Uncertain, Private Values.
Efficiency and Privacy Tradeoffs in Mechanism Design.
M-Unit EigenAnt: An Ant Algorithm to Find the M Best Solutions.
Campaign Management under Approval-Driven Voting Rules.
Constrained Coalition Formation.
Manipulation of Nanson's and Baldwin's Rules.
Quick Polytope Approximation of All Correlated Equilibria in Stochastic Games.
A Distributed Anytime Algorithm for Dynamic Task Allocation in Multi-Agent Systems.
A Kernel-Based Iterative Combinatorial Auction.
A Game-Theoretic Approach to Influence in Networks.
Automated Action Abstraction of Imperfect Information Extensive-Form Games.
VCG Redistribution with Gross Substitutes.
Computing an Extensive-Form Perfect Equilibrium in Two-Player Games.
A Functional Analysis of Historical Memory Retrieval Bias in the Word Sense Disambiguation Task.
Complexity of and Algorithms for Borda Manipulation.
Learning in Repeated Games with Minimal Information: The Effects of Learning Bias.
On Expressing Value Externalities in Position Auctions.
Dominating Manipulations in Voting with Partial Information.
Commitment to Correlated Strategies.
Optimal Envy-Free Cake Cutting.
Parameterized Complexity of Problems in Coalitional Resource Games.
Market Manipulation with Outside Incentives.
Mechanism Design for Federated Sponsored Search Auctions.
Branch and Price for Multi-Agent Plan Recognition.
Strategic Information Disclosure to People with Multiple Alternatives.
Refinement of Strong Stackelberg Equilibria in Security Games.
A Fast Spectral Relaxation Approach to Matrix Completion via Kronecker Products.
Multi-Task Learning in Heterogeneous Feature Spaces.
Convex Sparse Coding, Subspace Learning, and Semi-Supervised Extensions.
Transfer Latent Semantic Learning: Microblog Mining with Less Supervision.
Nonnegative Spectral Clustering with Discriminative Regularization.
Direct Density-Ratio Estimation with Dimensionality Reduction via Hetero-Distributional Subspace Analysis.
Sparse Matrix-Variate t Process Blockmodels.
Multi-Task Learning in Square Integrable Space.
Heterogeneous Transfer Learning with RBMs.
Localized K-Flats.
Efficient Subspace Segmentation via Quadratic Programming.
Transfer Learning by Structural Analogy.
Learning Instance Specific Distance for Multi-Instance Classification.
Towards Evolutionary Nonnegative Matrix Factorization.
Automatic Group Sparse Coding.
Fast Newton-CG Method for Batch Learning of Conditional Random Fields.
Towards Maximizing the Area Under the ROC Curve for Multi-Class Classification Problems.
Collaborative Users' Brand Preference Mining across Multiple Domains from Implicit Feedbacks.
A Generalised Solution to the Out-of-Sample Extension Problem in Manifold Learning.
Optimal Rewards versus Leaf-Evaluation Heuristics in Planning Agents.
Non-Parametric Approximate Linear Programming for MDPs.
Efficiently Learning a Distance Metric for Large Margin Nearest Neighbor Classification.
Markov Logic Sets: Towards Lifted Information Retrieval Using PageRank and Label Propagation.
Differential Eligibility Vectors for Advantage Updating and Gradient Methods.
Scaling Up Reinforcement Learning through Targeted Exploration.
Sparse Group Restricted Boltzmann Machines.
Multi-Level Cluster Indicator Decompositions of Matrices and Tensors.
Linear Discriminant Analysis: New Formulations and Overfit Analysis.
Latent Semantic Learning by Efficient Sparse Coding with Hypergraph Regularization.
Mean Field Inference in Dependency Networks: An Empirical Study.
Ordinal Regression via Manifold Learning.
Size Adaptive Selection of Most Informative Features.
Improving Semi-Supervised Support Vector Machines Through Unlabeled Instances Selection.
Value Function Approximation in Reinforcement Learning Using the Fourier Basis.
Adaptive Large Margin Training for Multilabel Classification.
Learning a Kernel for Multi-Task Clustering.
OASIS: Online Active Semi-Supervised Learning.
A Feasible Nonconvex Relaxation Approach to Feature Selection.
Symmetric Graph Regularized Constraint Propagation.
Across-Model Collective Ensemble Classification.
Selective Transfer Between Learning Tasks Using Task-Based Boosting.
Item-Level Social Influence Prediction with Probabilistic Hybrid Factor Matrix Factorization.
Basis Function Discovery Using Spectral Clustering and Bisimulation Metrics.
Unsupervised Learning of Human Behaviours.
Large Scale Spectral Clustering with Landmark-Based Representation.
A Nonparametric Bayesian Model of Multi-Level Category Learning.
Learning Structured Embeddings of Knowledge Bases.
An Online Spectral Learning Algorithm for Partially Observable Nonlinear Dynamical Systems.
Progression Semantics for Disjunctive Logic Programs.
Bounded Forgetting.
Integrating Rules and Description Logics by Circumscription.
Language Splitting and Relevance-Based Belief Change in Horn Logic.
Preferred Explanations: Theory and Generation via Planning.
How to Calibrate the Scores of Biased Reviewers by Quadratic Programming.
Transportability of Causal and Statistical Relations: A Formal Approach.
Revisiting Semantics for Epistemic Extensions of Description Logics.
Causal Theories of Actions Revisited.
A Modular Consistency Proof for DOLCE.
Conjunctive Query Inseparability of OWL 2 QL TBoxes.
Two-Dimensional Description Logics for Context-Based Semantic Interoperability.
An Algebraic Prolog for Reasoning about Possible Worlds.
Trajectory Regression on Road Networks.
A Closer Look at the Probabilistic Description Logic Prob-EL.
Spectrum-Based Sequential Diagnosis.
Higher-Order Description Logics for Domain Metamodeling.
Learning from Spatial Overlap.
Adding Default Attributes to EL++.
A Semantical Account of Progression in the Presence of Uncertainty.
Social Recommendation Using Low-Rank Semidefinite Program.
Deriving a Web-Scale Common Sense Fact Database.
Relational Blocking for Causal Discovery.
CosTriage: A Cost-Aware Triage Algorithm for Bug Reporting Systems.
Tracking User-Preference Varying Speed in Collaborative Filtering.
Simulated Annealing Based Influence Maximization in Social Networks.
Block A*: Database-Driven Search with Applications in Any-Angle Path-Planning.
Solving Difficult CSPs with Relational Neighborhood Inverse Consistency.
Anytime Nonparametric A.
Inner Regions and Interval Linearizations for Global Optimization.
Limits of Preprocessing.
Succinct Set-Encoding for State-Space Search.
Euclidean Heuristic Optimization.
Planning in Domains with Cost Function Dependent Actions.
Distributed Constraint Optimization Under Stochastic Uncertainty.
A Comparison of Lex Bounds for Multiset Variables in Constraint Programming.
Pushing the Power of Stochastic Greedy Ordering Schemes for Inference in Graphical Models.
A General Nogood-Learning Framework for Pseudo-Boolean Multi-Valued SAT.
Optimal Packing of High-Precision Rectangles.
Core-Guided Binary Search Algorithms for Maximum Satisfiability.
Heuristic Search for Large Problems With Real Costs.
The Compressed Differential Heuristic.
On the Complexity of BDDs for State Space Search: A Case Study in Connect Four.
Optimal Graph Search with Iterated Graph Cuts.
Extensible Automated Constraint Modelling.
