1382 search results - page 19 / 277 » An Experimental Study on Feature Subset Selection Methods |
165
Voted
CEC
2007
IEEE
15 years 7 months ago
2007
IEEE
This article, which lies within the data mining framework, proposes a method to build classifiers based on the evolution of rules. The method, named REC (Rule Evolution for Classif...
134
Voted
IJCNN
2007
IEEE
15 years 10 months ago
2007
IEEE
— This work addresses the problem of selecting a subset of basis functions for a model linear in the parameters for regression tasks. Basis functions from a set of candidates are...
143
Voted
CIARP
2006
Springer
15 years 7 months ago
2006
Springer
Feature selection and dimensionality reduction are crucial research fields in pattern recognition. This work presents the application of a novel technique on dimensionality reducti...
159
Voted
AIA
2007
15 years 5 months ago
2007
Sequential forward selection (SFS) is one of the most widely used feature selection procedures. It starts with an empty set and adds one feature at each step. The estimate of the ...
121
Voted
ICPR
2008
IEEE
16 years 4 months ago
2008
IEEE
AdaBoost and support vector machines (SVM) algorithms are commonly used in the field of object recognition. As classifiers, their classification performance is sensitive to affect...