2665 search results - page 172 / 533 » Bundle Methods for Machine Learning |
ICML
2005
IEEE
16 years 3 months ago
2005
IEEE
Many biological propositions can be supported by a variety of different types of evidence. It is often useful to collect together large numbers of such propositions, together with...
108
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ICML
2003
IEEE
16 years 3 months ago
2003
IEEE
In the standard feature selection problem, we are given a fixed set of candidate features for use in a learning problem, and must select a subset that will be used to train a mode...
101
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ICML
2000
IEEE
16 years 3 months ago
2000
IEEE
This paper investigates how the splitting criteria and pruning methods of decision tree learning algorithms are influenced by misclassification costs or changes to the class distr...
145
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ICDM
2009
IEEE
15 years 1 days ago
2009
IEEE
There has been significant recent interest in sparse metric learning (SML) in which we simultaneously learn both a good distance metric and a low-dimensional representation. Unfor...
121
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GECCO
2006
Springer
15 years 6 months ago
2006
Springer
Estimation of Distribution Algorithms (EDAs) are a class of evolutionary algorithms that use machine learning techniques to solve optimization problems. Machine learning is used t...