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AAAI
2010
13 years 9 months ago
Adaptive Transfer Learning
Transfer learning aims at reusing the knowledge in some source tasks to improve the learning of a target task. Many transfer learning methods assume that the source tasks and the ...
Bin Cao, Sinno Jialin Pan, Yu Zhang, Dit-Yan Yeung...
ICMLA
2009
13 years 5 months ago
Knowledge Transfer for Feature Generation in Document Classification
One important problem in machine learning is how to extract knowledge from prior experience, then transfer and apply this knowledge in new learning tasks. To address this problem, ...
Jian Zhang, Shobhit S. Shakya
ICCBR
2005
Springer
14 years 1 months ago
Learning to Win: Case-Based Plan Selection in a Real-Time Strategy Game
While several researchers have applied case-based reasoning techniques to games, only Ponsen and Spronck (2004) have addressed the challenging problem of learning to win real-time ...
David W. Aha, Matthew Molineaux, Marc J. V. Ponsen
EDUTAINMENT
2010
Springer
13 years 9 months ago
Transferring Design Knowledge: Challenges and Opportunities
Design becomes more and more the art of bringing together expertise and experts from different domains in creating future products. Synthetical knowledge and hands-on skills in des...
Jun Hu, Wei Chen, Christoph Bartneck, Matthias Rau...
SEAL
1998
Springer
14 years 2 days ago
Using Genetic Algorithms to Simulate the Evolution of an Oligopoly Game
Abstract. This paper extends the N-person IPD game into a more interesting game in economics, namely, the oligopoly game. Due to its market share dynamics, the oligopoly game is mo...
Shu-Heng Chen, Chih-Chi Ni