2712 search results - page 119 / 543 » On learning algorithm selection for classification |
89
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GECCO
2006
Springer
15 years 6 months ago
2006
Springer
This paper presents an information theoretic perspective on design and analysis of evolutionary algorithms. Indicators of solution quality are developed and applied not only to in...
109
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EMNLP
2008
15 years 3 months ago
2008
In recent years there has been substantial work on the important problem of coreference resolution, most of which has concentrated on the development of new models and algorithmic...
123
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EMNLP
2009
15 years 3 days ago
2009
We present a framework to extract the most important features (tree fragments) from a Tree Kernel (TK) space according to their importance in the target kernelbased machine, e.g. ...
149
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UAI
2004
15 years 3 months ago
2004
Exponential models of distributions are widely used in machine learning for classification and modelling. It is well known that they can be interpreted as maximum entropy models u...
111
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ICPR
2004
IEEE
16 years 3 months ago
2004
IEEE
In this paper, supervised nonparametric information theoretic classification (ITC) is introduced. Its principle relies on the likelihood of a data sample of transmitting its class...