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Publication search results
found 31 matches
- 2004
- Alexander Bochman:
Production Inference, Nonmonotonicity and Abduction. AI&M 2004 - Stefan Boettcher, Gabriel Istrate, Allon G. Percus:
Spines of Random Constraint Satisfaction Problems: Definition and Impact on Computational Complexity. AI&M 2004 - Martine Ceberio, François Modave:
Interval-Based Multicriteria Decision Making. AI&M 2004 - Douglas Cenzer, V. Wiktor Marek, Jeffrey B. Remmel:
Using Logic Programs to Reason about Infinite Sets. AI&M 2004 - Hubie Chen:
The Expressive Rate of Constraints. AI&M 2004 - Ian Davidson, Minoo Aminian:
Using the Central Limit Theorem for Belief Network Learning. AI&M 2004 - Dmitri A. Dolgov, Edmund H. Durfee:
Approximate Probabilistic Constraints and Risk-Sensitive Optimization Criteria in Markov Decision Processes. AI&M 2004 - Ashutosh Garg, T. S. Jayram, Shivakumar Vaithyanathan, Huaiyu Zhu:
Generalized Opinion Pooling. AI&M 2004 - Piotr J. Gmytrasiewicz, Prashant Doshi:
A Framework for Sequential Planning in Multi-Agent Settings. AI&M 2004 - Yunsong Guo, Andrew Lim, Brian Rodrigues, Yi Zhu:
Heuristics for a Brokering Set Packing Problem. AI&M 2004 - Brahim Hnich, Zeynep Kiziltan, Toby Walsh:
Combining Symmetry Breaking with Other Constraints: Lexicographic Ordering with Sums. AI&M 2004 - Gaofeng Huang, Andrew Lim:
A Simple Yet Effective Framework for Optimization Problems. AI&M 2004 - Kaizhu Huang, Haiqin Yang, Irwin King, Michael R. Lyu, Laiwan Chan:
Biased Minimax Probability Machine for Medical Diagnosis. AI&M 2004 - Amar Isli:
Combining Cardinal Direction Relations and Relative Relations in QSR. AI&M 2004 - Matti Järvisalo, Tommi A. Junttila, Ilkka Niemelä:
Unrestricted vs Restricted Cut in a Tableau Method for Boolean Circuits. AI&M 2004 - Gytis Karciauskas, Finn Verner Jensen, Tomás Kocka:
Parameter Reusing in Learning Latent Class Models. AI&M 2004 - Kalev Kask, Rina Dechter, Vibhav Gogate:
New Look-Ahead Schemes for Constraint Satisfaction. AI&M 2004 - Andrew C. Lee:
Learning via Finitely Many Queries. AI&M 2004 - Debasis Mitra:
Modeling and Reasoning with Star Calculus. AI&M 2004 - Apurva Mudgal, Craig A. Tovey, Sven Koenig:
Analysis of Greedy Robot-Navigation Methods. AI&M 2004 - Justin Pearson:
Symmetry Breaking in Constraint Satisfaction with Graph-Isomorphism: Comma-Free Codes. AI&M 2004 - Riccardo Pucella:
Deductive Algorithmic Knowledge. AI&M 2004 - Angelo C. Restificar, Peter Haddawy:
Inferring Utilities from Negotiation Actions. AI&M 2004 - Haiou Shen, Hantao Zhang:
Improving Exact Algorithms for MAX-2-SAT. AI&M 2004 - William D. Smart:
Explicit Manifold Representations for Value-Function Approximation in Reinforcement Learning. AI&M 2004 - Dave A. D. Tompkins, Holger H. Hoos:
Warped Landscapes and Random Acts of SAT Solving. AI&M 2004 - Miroslav N. Velev:
Using Automatic Case Splits and Efficient CNF Translation to Guide a SAT-solver when Formally Verifying Out-Of-Order Processors. AI&M 2004 - Christopher D. Walton:
Multi-Agent Dialogue Protocols. AI&M 2004 - Ke Yin, Ian Davidson:
Bayesian Model Averaging Across Model Spaces via Compact Encoding. AI&M 2004 - Yi Zhu, Andrew Lim:
Crane Scheduling with Spatial Constraints: Mathematical Models and Solving Approaches. AI&M 2004
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