2884 search results - page 87 / 577 » Evaluating learning algorithms and classifiers |
143
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CORR
2008
Springer
15 years 4 months ago
2008
Springer
: Boosting is a general method for improving the accuracy of any given learning algorithm. In this paper we employ combination of Adaboost with Support Vector Machine (SVM) as comp...
149
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ICML
2005
IEEE
16 years 5 months ago
2005
IEEE
We prove a quantitative connection between the expected sum of rewards of a policy and binary classification performance on created subproblems. This connection holds without any ...
158
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MCS
2010
Springer
15 years 2 months ago
2010
Springer
Multilabel classification is a challenging research problem in which each instance is assigned to a subset of labels. Recently, a considerable amount of research has been concerned...
160
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EUROGP
2007
Springer
15 years 8 months ago
2007
Springer
The conversion and extension of the Incremental Pareto-Coevolution Archive algorithm (IPCA) into the domain of Genetic Programming classification is presented. In particular, the ...
109
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ICDM
2007
IEEE
15 years 10 months ago
2007
IEEE
Experimental methodology for evaluating classification algorithms in relational (i.e., networked) data is complicated by dependencies between related data instances. We survey the...