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» Plasticity-Mediated Competitive Learning
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AAMAS
2005
Springer
13 years 11 months ago
Learning and Exploiting Relative Weaknesses of Opponent Agents
Agents in a competitive interaction can greatly benefit from adapting to a particular adversary, rather than using the same general strategy against all opponents. One method of s...
Shaul Markovitch, Ronit Reger
BMCBI
2006
173views more  BMCBI 2006»
13 years 11 months ago
Kernel-based distance metric learning for microarray data classification
Background: The most fundamental task using gene expression data in clinical oncology is to classify tissue samples according to their gene expression levels. Compared with tradit...
Huilin Xiong, Xue-wen Chen
ISCI
2007
130views more  ISCI 2007»
13 years 10 months ago
Learning to classify e-mail
In this paper we study supervised and semi-supervised classification of e-mails. We consider two tasks: filing e-mails into folders and spam e-mail filtering. Firstly, in a sup...
Irena Koprinska, Josiah Poon, James Clark, Jason C...
ROBOCUP
1998
Springer
148views Robotics» more  ROBOCUP 1998»
14 years 3 months ago
The CMTrio-98 Sony-Legged Robot Team
Sony has provided a remarkable platform for research and development in robotic agents, namely fully autonomous legged robots. In this paper, we describe our work using Sony's...
Manuela M. Veloso, William T. B. Uther
AAAI
2007
14 years 1 months ago
A New Algorithm for Generating Equilibria in Massive Zero-Sum Games
In normal scenarios, computer scientists often consider the number of states in a game to capture the difficulty of learning an equilibrium. However, players do not see games in ...
Martin Zinkevich, Michael H. Bowling, Neil Burch