3378 search results - page 111 / 676 » Learning in Friedberg Numberings |
137
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ICML
2003
IEEE
16 years 7 months ago
2003
IEEE
In many real world applications, active selection of training examples can significantly reduce the number of labelled training examples to learn a classification function. Differ...
161
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FOCS
2005
IEEE
16 years 13 hour ago
2005
IEEE
We consider the problem of learning mixtures of arbitrary symmetric distributions. We formulate sufficient separation conditions and present a learning algorithm with provable gua...
178
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ECAI
2006
Springer
15 years 10 months ago
2006
Springer
Abstract. We formulate the problem of least squares temporal difference learning (LSTD) in the framework of least squares SVM (LS-SVM). To cope with the large amount (and possible ...
145
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DAGM
1995
Springer
15 years 10 months ago
1995
Springer
We introduce a learning algorithm for the weights in a very common class of discrimination functions usually called weighted average". Di erent submodules are produced by som...
158
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BIOCOMP
2007
15 years 7 months ago
2007
— This paper describes graph-based relational, unsupervised learning algorithm to infer node replacement graph grammar and its application to metabolic pathways. We search for fr...