1766 search results - page 32 / 354 » Classifier Selection Based on Data Complexity Measures |
GIS
1995
ACM
15 years 1 months ago
1995
ACM
Polygonal objects are characterized by the following well-known parameters: number of vertices, area, perimeter and so on. These parameters describe the data sets that are used in...
GECCO
2007
Springer
15 years 4 months ago
2007
Springer
Selecting the most relevant factors from genetic profiles that can optimally characterize cellular states is of crucial importance in identifying complex disease genes and biomark...
FUZZIEEE
2007
IEEE
15 years 4 months ago
2007
IEEE
Abstract— Feature Selection (FS) is a technique for dimensionality reduction. Its aims are to select a subset of the original features of a dataset which are rich in the most use...
COMAD
2008
14 years 11 months ago
2008
An important problem in biological data analysis is to predict the family of a newly discovered sequence like a protein or DNA sequence, using the collection of available sequence...
ESWA
2006
14 years 9 months ago
2006
In this paper we propose a meta-evolutionary approach to improve on the performance of individual classifiers. In the proposed system, individual classifiers evolve, competing to ...