10594 search results - page 177 / 2119 » Learning classifier systems |
136
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NIPS
2008
15 years 3 months ago
2008
We address the problem of learning classifiers for several related tasks that may differ in their joint distribution of input and output variables. For each task, small
134
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ECIR
2009
Springer
14 years 11 months ago
2009
Springer
Abstract. Active learning refers to the task of devising a ranking function that, given a classifier trained from relatively few training examples, ranks a set of additional unlabe...
113
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DAWAK
2009
Springer
15 years 6 months ago
2009
Springer
A process, based on argumentation theory, is described for classifying very noisy data. More specifically a process founded on a concept called “arguing from experience” is des...
102
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ADBIS
2008
Springer
15 years 4 months ago
2008
Springer
In many problems the raw data is already classified according to a variety of features using some linear classification algorithm but needs to be reclassified. We introduce a novel...
116
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CVPR
2007
IEEE
16 years 4 months ago
2007
IEEE
Class syntax can be used to 1) model temporal or locational evolvement of class labels of feature observation sequences, 2) correct classification errors of static classifiers if ...