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AI
2001
Springer
14 years 1 months ago
Learning about Constraints by Reflection
A system's constraints characterizes what that system can do. However, a dynamic environment may require that a system alter its constraints. If feedback about a specific situ...
J. William Murdock, Ashok K. Goel
AI
2001
Springer
14 years 2 months ago
Learning Bayesian Belief Network Classifiers: Algorithms and System
Abstract. This paper investigates the methods for learning predictive classifiers based on Bayesian belief networks (BN) – primarily unrestricted Bayesian networks and Bayesian m...
Jie Cheng, Russell Greiner
AI
2001
Springer
14 years 2 months ago
A Case Study for Learning from Imbalanced Data Sets
We present our experience in applying a rule induction technique to an extremely imbalanced pharmaceutical data set. We focus on using a variety of performance measures to evaluate...
Aijun An, Nick Cercone, Xiangji Huang
SEMWEB
2001
Springer
14 years 2 months ago
Overcoming Ontology Mismatches in Transactions with Self-Describing Service Agents
One vision of the “Semantic Web” of the future is that software agents will interact with each other using formal metadata that reveal their interfaces. We examine one plausibl...
Drew V. McDermott, Mark H. Burstein, Douglas R. Sm...
AI
2002
Springer
13 years 9 months ago
A hierarchical approach to computer Hex
Hex is a beautiful game with simple rules and a strategic complexity comparable to that of Chess and Go. The massive game-tree search techniques developed mostly for Chess and suc...
Vadim V. Anshelevich