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GECCO
2004
Springer
15 years 9 months ago
Bounding Learning Time in XCS
It has been shown empirically that the XCS classifier system solves typical classification problems in a machine learning competitive way. However, until now, no learning time es...
Martin V. Butz, David E. Goldberg, Pier Luca Lanzi
ECML
1991
Springer
15 years 8 months ago
A Multistrategy Learning Approach to Domain Modeling and Knowledge Acquisition
This paper presents an approach to domain modeling and knowledge acquisition that consists of a gradual and goal-driven improvement of an incomplete domain model provided by a hum...
Gheorghe Tecuci
ICALT
2007
IEEE
15 years 10 months ago
A Participatory Learning Environment by Using Voice Trackback System in Zoological Garden
Our research group found that zoological garden is a resourceful place for learning by experience, so that we set “ZOO PROJECT” that aims at reconstructing learning environmen...
Yutaro Ohashi, Shuichi Nagata, Hiroshi Mashima, Hi...
BMCBI
2008
166views more  BMCBI 2008»
15 years 4 months ago
Learning transcriptional regulatory networks from high throughput gene expression data using continuous three-way mutual informa
Background: Probability based statistical learning methods such as mutual information and Bayesian networks have emerged as a major category of tools for reverse engineering mecha...
Weijun Luo, Kurt D. Hankenson, Peter J. Woolf
DATAMINE
2008
112views more  DATAMINE 2008»
15 years 4 months ago
PRIE: a system for generating rulelists to maximize ROC performance
Rules are commonly used for classification because they are modular, intelligible and easy to learn. Existing work in classification rule learning assumes the goal is to produce ca...
Tom Fawcett