199 search results - page 24 / 40 » Accuracy of distance metric learning algorithms |
127
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IWBRS
2005
Springer
15 years 6 months ago
2005
Springer
Though AdaBoost has been widely used for feature selection and classifier learning, many of the selected features, or weak classifiers, are redundant. By incorporating mutual infor...
107
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CICLING
2009
Springer
16 years 1 months ago
2009
Springer
Abstract. We describe a semantic clustering method designed to address shortcomings in the common bag-of-words document representation for functional semantic classification tasks....
PKDD
2000
Springer
15 years 4 months ago
2000
Springer
Previous algoritms for the construction of belief networks structures from data are mainly based either on independence criteria or on scoring metrics. The aim of this paper is to ...
95
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CVPR
2007
IEEE
16 years 2 months ago
2007
IEEE
The success of tensor-based subspace learning depends heavily on reducing correlations along the column vectors of the mode-k flattened matrix. In this work, we study the problem ...
97
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ILP
2001
Springer
15 years 4 months ago
2001
Springer
The Bayesian framework of learning from positive noise-free examples derived by Muggleton [12] is extended to learning functional hypotheses from positive examples containing norma...