795 search results - page 19 / 159 » Feature Selection for Inductive Generalization |
ICML
1994
IEEE
15 years 3 months ago
1994
IEEE
Many real-world domains bless us with a wealth of attributes to use for learning. This blessing is often a curse: most inductive methods generalize worse given too many attributes...
101
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CIKM
2007
Springer
15 years 6 months ago
2007
Springer
We present an evolutionary clustering method which can be applied to multi-relational knowledge bases storing resource annotations expressed in the standard languages for the Sema...
113
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AAAI
2008
15 years 2 months ago
2008
Fisher score and Laplacian score are two popular feature selection algorithms, both of which belong to the general graph-based feature selection framework. In this framework, a fe...
ICCV
2003
IEEE
16 years 1 months ago
2003
IEEE
Feature points for image correspondence are often selected according to subjective criteria (e.g. edge density, nostrils). In this paper, we present a general, non-subjective crit...
CIARP
2006
Springer
15 years 3 months ago
2006
Springer
Feature selection is a critical procedure in many pattern recognition applications. There are two distinct mechanisms for feature selection namely the wrapper methods and the filte...