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AI
2002
Springer
15 years 6 months ago
Learning Bayesian networks from data: An information-theory based approach
This paper provides algorithms that use an information-theoretic analysis to learn Bayesian network structures from data. Based on our three-phase learning framework, we develop e...
Jie Cheng, Russell Greiner, Jonathan Kelly, David ...
ANOR
2002
128views more  ANOR 2002»
15 years 6 months ago
Crew Assignment via Constraint Programming: Integrating Column Generation and Heuristic Tree Search
The Airline Crew Assignment Problem (ACA) consists of assigning lines of work to a set of crew members such that a set of activities is partitioned and the costs for that assignmen...
Meinolf Sellmann, Kyriakos Zervoudakis, Panagiotis...
CONSTRAINTS
2004
116views more  CONSTRAINTS 2004»
15 years 6 months ago
Decision Tradeoff Using Example-Critiquing and Constraint Programming
We consider constructive preference elicitation for decision aid systems in applications such as configuration or electronic catalogs. We are particularly interested in supporting ...
Pearl Pu, Boi Faltings
CORR
2004
Springer
140views Education» more  CORR 2004»
15 years 6 months ago
Integrating Defeasible Argumentation and Machine Learning Techniques
The field of machine learning (ML) is concerned with the question of how to construct algorithms that automatically improve with experience. In recent years many successful ML app...
Sergio Alejandro Gómez, Carlos Iván ...
AAMAS
2000
Springer
15 years 6 months ago
Synthesizing Coordination Requirements for Heterogeneous Autonomous Agents
Abstract. As agents move into ever more important applications, there is a natural growth in interest in techniques for synthesizing multiagent systems. We describe an approach for...
Munindar P. Singh
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