We present a performance study of the MAFIA algorithm for mining maximal frequent itemsets from a transactional database. In a thorough experimental analysis, we isolate the effec...
Douglas Burdick, Manuel Calimlim, Jason Flannick, ...
In this paper, we present an experimental methodology and results for a machine learning approach to learning opening strategy in the game of Go, a game for which the best compute...
Researchers studying Evolutionary Algorithms and their applications have always been confronted with the sample complexity problem. The relationship between population size and gl...
AI has the potential to play an important role in the customer service field. By leveraging the high bandwidth of natural language customers will be able to state their intentions...
Mihai Barbuceanu, Mark S. Fox, Lei Hong, Yannick L...
This paper presents our on-going research into selforganizing and self-healing networks of resource brokers, for use in complex Peer-to-Peer (P2P) resource sharing and Grid comput...