1106 search results - page 150 / 222 » On regularization algorithms in learning theory |
185
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GECCO
2009
Springer
15 years 9 months ago
2009
Springer
Nowadays, object recognition is widely studied under the paradigm of matching local features. This work describes a genetic programming methodology that synthesizes mathematical e...
125
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CIKM
2000
Springer
15 years 8 months ago
2000
Springer
RankBoost is a recently proposed algorithm for learning ranking functions. It is simple to implement and has strong justifications from computational learning theory. We describe...
155
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KDD
2004
ACM
16 years 4 months ago
2004
ACM
We devise a boosting approach to classification and regression based on column generation using a mixture of kernels. Traditional kernel methods construct models based on a single...
157
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SOFSEM
2000
Springer
15 years 8 months ago
2000
Springer
For half a century since computers came into existence, the goal of finding elegant and efficient algorithms to solve "simple" (welldefined and well-structured) problems ...
121
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CONIELECOMP
2006
IEEE
15 years 10 months ago
2006
IEEE
This paper presents a wavelet neural-network for learning and approximation of chaotic time series. Wavelet-networks are inspired by both feed-forward neural networks and the theo...