2190 search results - page 6 / 438 » Learning with the Set Covering Machine |
130
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ICML
2008
IEEE
16 years 4 months ago
2008
IEEE
In many retrieval tasks, one important goal involves retrieving a diverse set of results (e.g., documents covering a wide range of topics for a search query). First of all, this r...
118
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COLT
1995
Springer
15 years 6 months ago
1995
Springer
We present algorithms for exactly learning unknown environments that can be described by deterministic nite automata. The learner performs a walk on the target automaton, where at...
135
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AUSDM
2006
Springer
15 years 7 months ago
2006
Springer
The support vector machine (SVM) is a wellestablished and accurate supervised learning method for the classification of data in various application fields. The statistical learnin...
133
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EUROCOLT
1999
Springer
15 years 7 months ago
1999
Springer
Many settings of unsupervised learning can be viewed as quantization problems — the minimization of the expected quantization error subject to some restrictions. This allows the ...
124
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TSD
2010
Springer
15 years 1 months ago
2010
Springer
The main idea of a priori machine learning is to apply a machine learning method on a machine learning problem itself. We call it "a priori" because the processed data se...