2712 search results - page 278 / 543 » On learning algorithm selection for classification |
152
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ML
2002
ACM
15 years 6 months ago
2002
ACM
In this paper we examine ensemble methods for regression that leverage or "boost" base regressors by iteratively calling them on modified samples. The most successful lev...
182
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ML
2002
ACM
15 years 6 months ago
2002
ACM
Matching Pursuit algorithms learn a function that is a weighted sum of basis functions, by sequentially appending functions to an initially empty basis, to approximate a target fu...
167
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ICMCS
2009
IEEE
15 years 4 months ago
2009
IEEE
We consider the problem of classification of multiple observations of the same object, possibly under different transformations. We view this problem as a special case of semi-sup...
192
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ICASSP
2008
IEEE
16 years 1 months ago
2008
IEEE
We address the feature selection problem for hidden Markov models (HMMs) in sequence classification. Temporal correlation in sequences often causes difficulty in applying featur...
167
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ACIVS
2009
Springer
16 years 1 months ago
2009
Springer
Abstract. Feature subset selection is an important subject when training classifiers in Machine Learning (ML) problems. Too many input features in a ML problem may lead to the so-...