7868 search results - page 358 / 1574 » Learning by Answer Sets |
180
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ML
2000
ACM
15 years 6 months ago
2000
ACM
Bagging and boosting reduce error by changing both the inputs and outputs to form perturbed training sets, grow predictors on these perturbed training sets and combine them. A que...
152
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ML
2002
ACM
15 years 6 months ago
2002
ACM
The decomposition method is currently one of the major methods for solving support vector machines. An important issue of this method is the selection of working sets. In this pape...
235
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KDD
2008
ACM
16 years 7 months ago
2008
ACM
The success of popular algorithms such as k-means clustering or nearest neighbor searches depend on the assumption that the underlying distance functions reflect domain-specific n...
186
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KCAP
2009
ACM
16 years 1 months ago
2009
ACM
In lots of natural language processing tasks, the classes to be dealt with often occur heavily imbalanced in the underlying data set and classifiers trained on such skewed data t...
152
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COLT
2007
Springer
16 years 25 days ago
2007
Springer
The standard so-called experts algorithms are methods for utilizing a given set of “experts” to make good choices in a sequential decision-making problem. In the standard setti...