795 search results - page 19 / 159 » Feature Selection for Inductive Generalization |
ICML
1994
IEEE
13 years 11 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...
CIKM
2007
Springer
14 years 2 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...
AAAI
2008
13 years 10 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
14 years 10 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
13 years 11 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...