2566 search results - page 282 / 514 » Relating reinforcement learning performance to classificatio... |
192
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KDD
2006
ACM
16 years 7 months ago
2006
ACM
Linear and Quadratic Discriminant Analysis have been used widely in many areas of data mining, machine learning, and bioinformatics. Friedman proposed a compromise between Linear ...
181
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ALGORITHMICA
2006
15 years 6 months ago
2006
Classification is a key problem in machine learning/data mining. Algorithms for classification have the ability to predict the class of a new instance after having been trained on...
188
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JCP
2008
15 years 6 months ago
2008
kernel canonical correlation analysis (KCCA) is a recently addressed supervised machine learning methods, which shows to be a powerful approach of extracting nonlinear features for...
185
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ICIAR
2009
Springer
15 years 4 months ago
2009
Springer
This paper presents a robust automatic shape classifier using modular wavelet networks (MWNs). A shape descriptor is constructed based on a combination of global geometric features...
212
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ADMA
2010
Springer
15 years 1 months ago
2010
Springer
We introduce a novel approach to incremental e-mail categorization based on identifying and exploiting "clumps" of messages that are classified similarly. Clumping reflec...