877 search results - page 71 / 176 » Selection of Subsets of Ordered Features in Machine Learning |
118
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KDD
2010
ACM
15 years 7 months ago
2010
ACM
An ensemble is a set of learned models that make decisions collectively. Although an ensemble is usually more accurate than a single learner, existing ensemble methods often tend ...
120
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ICML
2007
IEEE
16 years 4 months ago
2007
IEEE
In many applications it is desirable to learn from several kernels. "Multiple kernel learning" (MKL) allows the practitioner to optimize over linear combinations of kern...
149
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ICANN
2005
Springer
15 years 9 months ago
2005
Springer
One aim of Meta-learning techniques is to minimize the time needed for problem solving, and the effort of parameter hand-tuning, by automating algorithm selection. The predictive m...
168
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ISIWI
2000
15 years 5 months ago
2000
(Automatic) document classification is generally defined as content-based assignment of one or more predefined categories to documents. Usually, machine learning, statistical patt...
134
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FGR
2008
IEEE
15 years 10 months ago
2008
IEEE
Many facial image analysis methods rely on learningbased techniques such as Adaboost or SVMs to project classifiers based on the selection of local image filters (e.g., Haar and...