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ESANN
2007
13 years 11 months ago
Kernel-based online machine learning and support vector reduction
We apply kernel-based machine learning methods to online learning situations, and look at the related requirement of reducing the complexity of the learnt classifier. Online meth...
Sumeet Agarwal, V. Vijaya Saradhi, Harish Karnick
CISST
2004
164views Hardware» more  CISST 2004»
13 years 11 months ago
Probabilistic Region Relevance Learning for Content-Based Image Retrieval
Probabilistic feature relevance learning (PFRL) is an effective method for adaptively computing local feature relevance in content-based image retrieval. It computes flexible retr...
Iker Gondra, Douglas R. Heisterkamp
ML
1998
ACM
113views Machine Learning» more  ML 1998»
13 years 10 months ago
Machine Learning for the Detection of Oil Spills in Satellite Radar Images
During a project examining the use of machine learning techniques for oil spill detection, we have encountered several essential questions that we believe deserve the attention of ...
Miroslav Kubat, Robert C. Holte, Stan Matwin
JUCS
2010
176views more  JUCS 2010»
13 years 8 months ago
An Approach to Generation of Decision Rules
: Classical classification and clustering based on equivalence relations are very important tools in decision-making. An equivalence relation is usually determined by properties of...
Zhang Mingyi, Danning Li, Zhang Ying
DIGRA
2005
Springer
14 years 3 months ago
Games for Learning: Are Schools Ready for What's to Come?
Games Studies is still a relatively new field where much basic research remains to be done. This study asks K-12 teachers about their attitudes towards the use of games for teachi...
Katrin Becker, Michele Jacobsen