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ORCIDAI&M 2004: Fort Lauderdale, Florida, USA
- International Symposium on Artificial Intelligence and Mathematics, AI&M 2004, Fort Lauderdale, Florida, USA, January 4-6, 2004. 2004
- Alexander Bochman:
Production Inference, Nonmonotonicity and Abduction. - Stefan Boettcher, Gabriel Istrate, Allon G. Percus:
Spines of Random Constraint Satisfaction Problems: Definition and Impact on Computational Complexity. - Martine Ceberio, François Modave:
Interval-Based Multicriteria Decision Making. - Douglas Cenzer, V. Wiktor Marek, Jeffrey B. Remmel:
Using Logic Programs to Reason about Infinite Sets. - Hubie Chen:
The Expressive Rate of Constraints. - Ian Davidson, Minoo Aminian:
Using the Central Limit Theorem for Belief Network Learning. - Dmitri A. Dolgov, Edmund H. Durfee:
Approximate Probabilistic Constraints and Risk-Sensitive Optimization Criteria in Markov Decision Processes. - Ashutosh Garg, T. S. Jayram, Shivakumar Vaithyanathan, Huaiyu Zhu:
Generalized Opinion Pooling. - Piotr J. Gmytrasiewicz, Prashant Doshi:
A Framework for Sequential Planning in Multi-Agent Settings. - Yunsong Guo, Andrew Lim, Brian Rodrigues, Yi Zhu:
Heuristics for a Brokering Set Packing Problem. - Brahim Hnich, Zeynep Kiziltan, Toby Walsh:
Combining Symmetry Breaking with Other Constraints: Lexicographic Ordering with Sums. - Gaofeng Huang, Andrew Lim:
A Simple Yet Effective Framework for Optimization Problems. - Kaizhu Huang, Haiqin Yang, Irwin King, Michael R. Lyu, Laiwan Chan:
Biased Minimax Probability Machine for Medical Diagnosis. - Amar Isli:
Combining Cardinal Direction Relations and Relative Relations in QSR. - Matti Järvisalo, Tommi A. Junttila, Ilkka Niemelä:
Unrestricted vs Restricted Cut in a Tableau Method for Boolean Circuits. - Gytis Karciauskas, Finn Verner Jensen, Tomás Kocka:
Parameter Reusing in Learning Latent Class Models. - Kalev Kask, Rina Dechter, Vibhav Gogate:
New Look-Ahead Schemes for Constraint Satisfaction. - Andrew C. Lee:
Learning via Finitely Many Queries. - Debasis Mitra:
Modeling and Reasoning with Star Calculus. - Apurva Mudgal, Craig A. Tovey, Sven Koenig:
Analysis of Greedy Robot-Navigation Methods. - Justin Pearson:
Symmetry Breaking in Constraint Satisfaction with Graph-Isomorphism: Comma-Free Codes. - Riccardo Pucella:
Deductive Algorithmic Knowledge. - Angelo C. Restificar, Peter Haddawy:
Inferring Utilities from Negotiation Actions. - Haiou Shen, Hantao Zhang:
Improving Exact Algorithms for MAX-2-SAT. - William D. Smart:
Explicit Manifold Representations for Value-Function Approximation in Reinforcement Learning. - Dave A. D. Tompkins, Holger H. Hoos:
Warped Landscapes and Random Acts of SAT Solving. - Miroslav N. Velev:
Using Automatic Case Splits and Efficient CNF Translation to Guide a SAT-solver when Formally Verifying Out-Of-Order Processors. - Christopher D. Walton:
Multi-Agent Dialogue Protocols. - Ke Yin, Ian Davidson:
Bayesian Model Averaging Across Model Spaces via Compact Encoding. - Yi Zhu, Andrew Lim:
Crane Scheduling with Spatial Constraints: Mathematical Models and Solving Approaches.
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