593 search results - page 46 / 119 » Dealing with different distributions in learning from |
168
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CORR
2007
Springer
15 years 6 months ago
2007
Springer
This is to present work on modifying the Aleph ILP system so that it evaluates the hypothesised clauses in parallel by distributing the data-set among the nodes of a parallel or di...
152
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ICDM
2003
IEEE
15 years 11 months ago
2003
IEEE
Clustering by document concepts is a powerful way of retrieving information from a large number of documents. This task in general does not make any assumption on the data distrib...
205
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ICCV
2003
IEEE
16 years 8 months ago
2003
IEEE
This paper describes a novel application of support vector machines and multiscale texture and color invariants to a problem in biological oceanography: the identification of 6 sp...
183
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ECML
2004
Springer
15 years 11 months ago
2004
Springer
The standard framework of machine learning problems assumes that the available data is independent and identically distributed (i.i.d.). However, in some applications such as image...
192
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AAAI
2011
14 years 6 months ago
2011
A common approach in machine learning is to use a large amount of labeled data to train a model. Usually this model can then only be used to classify data in the same feature spac...