1106 search results - page 23 / 222 » On regularization algorithms in learning theory |
137
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STOC
2010
ACM
15 years 9 months ago
2010
ACM
We propose a new framework for discussing computational complexity of problems involving uncountably many objects, such as real numbers, sets and functions, that can be represente...
151
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ICML
2007
IEEE
16 years 5 months ago
2007
IEEE
In this paper we investigate the regularization property of Kernel Principal Component Analysis (KPCA), by studying its application as a preprocessing step to supervised learning ...
142
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ECCV
2008
Springer
16 years 6 months ago
2008
Springer
The application of semi-supervised learning algorithms to large scale vision problems suffers from the bad scaling behavior of most methods. Based on the Expectation Regularization...
135
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KDD
2009
ACM
16 years 5 months ago
2009
ACM
We present novel semi-supervised boosting algorithms that incrementally build linear combinations of weak classifiers through generic functional gradient descent using both labele...
142
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CIKM
1997
Springer
15 years 8 months ago
1997
Springer
This paper presents an efficient algorithm for learning Bayesian belief networks from databases. The algorithm takes a database as input and constructs the belief network structur...