1106 search results - page 18 / 222 » On regularization algorithms in learning theory |
ICML
1999
IEEE
15 years 10 months ago
1999
IEEE
Most machine learning algorithms share the following drawback: they only output bare predictions but not the con dence in those predictions. In the 1960s algorithmic information t...
AAAI
2012
13 years 6 days ago
2012
Transfer learning proves to be effective for leveraging labeled data in the source domain to build an accurate classifier in the target domain. The basic assumption behind transf...
ITICSE
2004
ACM
15 years 3 months ago
2004
ACM
The use of generic and generative methods for the development and application of interactive educational software is a relatively unexplored area in industry and education. Advant...
SDM
2004
SIAM
14 years 11 months ago
2004
SIAM
A wide variety of distortion functions, such as squared Euclidean distance, Mahalanobis distance, Itakura-Saito distance and relative entropy, have been used for clustering. In th...
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ALT
2004
Springer
15 years 1 months ago
2004
Springer
Abstract. We present a survey of recent results concerning the theoretical and empirical performance of algorithms for learning regularized least-squares classifiers. The behavior ...