1325 search results - page 106 / 265 » Algorithm Selection using Reinforcement Learning |
109
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AI
2009
Springer
15 years 9 months ago
2009
Springer
The manipulation of large-scale document data sets often involves the processing of a wealth of features that correspond with the available terms in the document space. The employm...
122
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IPPS
2007
IEEE
15 years 9 months ago
2007
IEEE
The growing complexity of modern processors has made the development of highly efficient code increasingly difficult. Manually developing highly efficient code is usually expen...
111
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ISDA
2009
IEEE
15 years 9 months ago
2009
IEEE
For supervised learning, feature selection algorithms attempt to maximise a given function of predictive accuracy. This function usually considers the ability of feature vectors t...
150
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TCBB
2010
15 years 1 months ago
2010
—Gene expression data usually contain a large number of genes, but a small number of samples. Feature selection for gene expression data aims at finding a set of genes that best...
120
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ISCAS
2002
IEEE
15 years 7 months ago
2002
IEEE
We have implemented an aspect of learning and memory in the nervous system using analog electronics. Using a simple synaptic circuit we realize networks with Hebbian type adaptati...