2712 search results - page 186 / 543 » On learning algorithm selection for classification |
181
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ESANN
2008
15 years 8 months ago
2008
Our goal is proposing an unbiased framework for gene expression analysis based on variable selection combined with a significance assessment step. We start by discussing the need ...
153
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MCS
2005
Springer
16 years 21 hour ago
2005
Springer
Support Vector Machines (SVMs) have been successfully applied to solve a large number of classification and regression problems. However, SVMs suffer from the catastrophic forgetti...
211
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IROS
2007
IEEE
16 years 25 days ago
2007
IEEE
— A major challenge in the path of widespread use of mobile robots is the ability to function autonomously, learning useful features from the environment and using them to adapt ...
183
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ECML
2006
Springer
15 years 10 months ago
2006
Springer
In many complex machine learning applications there is a need to learn multiple interdependent output variables, where knowledge of these interdependencies can be exploited to impr...
169
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IJCAI
2007
15 years 8 months ago
2007
Deictic representation is a representational paradigm, based on selective attention and pointers, that allows an agent to learn and reason about rich complex environments. In this...