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ICMLA
2003
15 years 7 months ago
A Distributed Reinforcement Learning Approach to Pattern Inference in Go
— This paper shows that the distributed representation found in Learning Vector Quantization (LVQ) enables reinforcement learning methods to cope with a large decision search spa...
Myriam Abramson, Harry Wechsler
HICSS
2009
IEEE
74views Biometrics» more  HICSS 2009»
16 years 1 months ago
SAVVY: A Semantic Associative Browsing System for Heterogeneous Knowledge Resources
This paper presents a semantic associative browsing system called Semantic Association Various Viewpoint sYstem (SAVVY). Recently, the number of users who employ search engines fo...
Takafumi Nakanishi, Koji Zettsu, Yutaka Kidawara, ...
RSFDGRC
1999
Springer
135views Data Mining» more  RSFDGRC 1999»
15 years 10 months ago
The Iterated Version Space Learning
Inspired with Version Space learning, the Iterated Version Space Algorithm (IVSA) has been designed and implemented to learn disjunctive concepts. IVSA dynamically partitions its s...
Jianna Jian Zhang, Nick Cercone
ECML
2006
Springer
15 years 10 months ago
Why Is Rule Learning Optimistic and How to Correct It
Abstract. In their search through a huge space of possible hypotheses, rule induction algorithms compare estimations of qualities of a large number of rules to find the one that ap...
Martin Mozina, Janez Demsar, Jure Zabkar, Ivan Bra...
TEC
2008
94views more  TEC 2008»
15 years 6 months ago
Measuring Generalization Performance in Coevolutionary Learning
Coevolutionary learning involves a training process where training samples are instances of solutions that interact strategically to guide the evolutionary (learning) process. One ...
Siang Yew Chong, Peter Tino, Xin Yao