- A New Method for Solving Hard Satisfiability Problems
- Neural Message Passing for Quantum Chemistry
- Algorithm and Tool for Automated Ontology Merging and Alignment
- Content-Boosted Collaborative Filtering for Improved Recommendations
- D* Lite
- QUICKXPLAIN: Preferred Explanations and Relaxations for Over-Constrained Problems
- RI: an Expert in the Computer Systems Domain
- Reverend bayes on inference engines: a distributed hierarchical approach
- A Variational Approach To Edge Detection
- A Theory of Action for MultiAgent Planning
- The Tractability of Subsumption in Frame-Based Description Languages
- A Logic of Implicit and Explicit Belief
- Default geasoning, Nonmonotonic Logics, and the Frame Problem
- Real-Time Heuristic Search: First Results
- Pengi: lementation of a Theory of Activity
- The Logic of Representing Dependencies by Directed Graphs
- Reactive Reasoning and Planning
- Solving Large-Scale Constraint Satisfaction and Scheduling Problems Using a Heuristic Repair Method
- Systematic Nonlinear Planning
- Hard and Easy Distribution of SAT Problems
- Automatically Constructing a Dictionary for Information Extraction Tasks
- Learning: Interface Agents
- A Filtering Algorithm for Constraints of Difference in CSPs
- Pushing the Envelope: Planning, Propositional Logic, and Stochastic Search
- Statistical Parsing with a Context-free Grammar and Word Statistics
- Using CSP Look-Back Techniques to Solve Real-World SAT Instances
- The Interactive Museum Tour-Guide Robot
- Boosting Combinatorial Search Through Randomization
- Combining Collaborative Filtering with Personal Agents for Better Recommendations
- Learning Dictionaries for Information Extraction by Multi-Level Bootstrapping
- Acting Optimally in Partially Observable Stochastic Domains
- Monte Carlo Localization: Efficient Position Estimation forMobile Robots
- Quantifying Inductive Bias: AI Learning Algorithms and Valiant's Learning Framework
- A Robust, Qualitative Method for Robot Spatial Learning
- Learning to Coordinate Behaviors
- Estimating the Absolute Position of a Mobile Robot Using Position Probability Grids
- Syskill and Webert: Identifying interesting web sites
- Composing graphical models with neural networks for structured representations and fast inference
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"We are trying to prove ourselves wrong as quickly as possible, because only in that way can we find progress." ― Richard P. Feynman