997 search results - page 173 / 200 » Learning Rule Representations from Boolean Data |
119
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EMNLP
2009
14 years 11 months 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. ...
120
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PREMI
2005
Springer
15 years 7 months ago
2005
Springer
Abstract. Technological advances in experimental and computational molecular biology have revolutionized the whole fields of biology and medicine. Large-scale sequencing, expressio...
128
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AAAI
2011
14 years 1 months ago
2011
Important ecological phenomena are often observed indirectly. Consequently, probabilistic latent variable models provide an important tool, because they can include explicit model...
103
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MICCAI
2009
Springer
16 years 3 months ago
2009
Springer
Abstract. We present a novel computational framework for characterizing signal in brain images via nonlinear pairing of critical values of the signal. Among the astronomically larg...
134
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AAAI
1996
15 years 3 months ago
1996
Recent work in supervised learning has shown that a surprisingly simple Bayesian classifier with strong assumptions of independence among features, called naive Bayes, is competit...