869 search results - page 134 / 174 » An Effective Learning Method for Max-Min Neural Networks |
116
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IWANN
1999
Springer
15 years 8 months ago
1999
Springer
Abstract: Support vector machines (SVMs) are primarily designed for 2-class classification problems. Although in several papers it is mentioned that the combination of K SVMs can b...
216
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Book
"Gaussian processes (GPs) provide a principled, practical, probabilistic approach to learning in kernel machines. GPs have received increased attention in the machine-learning...
184
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TAINN
2005
Springer
15 years 9 months ago
2005
Springer
Satisfiability problem is an NP-complete problem that finds itself or its variants in many combinatorial problems. There exist many complete algorithms that give successful results...
163
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NIPS
1998
15 years 5 months ago
1998
This paper introduces a method for regularization of HMM systems that avoids parameter overfitting caused by insufficient training data. Regularization is done by augmenting the E...
120
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ISM
2005
IEEE
15 years 10 months ago
2005
IEEE
Our research extends the general technologies detecting pornographic images to prevent the benign images whose content is approximate with the pornographic ones from being screene...