2200 search results - page 1 / 440 » Objective reduction using a feature selection technique |
GECCO
2008
Springer
14 years 7 days ago
2008
Springer
This paper introduces two new algorithms to reduce the number of objectives in a multiobjective problem by identifying the most conflicting objectives. The proposed algorithms ar...
IWANN
2007
Springer
14 years 5 months ago
2007
Springer
Abstract. Steganalysis consists in classifying documents as steganographied or genuine. This paper presents a methodology for steganalysis based on a set of 193 features with two m...
FUZZIEEE
2007
IEEE
14 years 5 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...
DEXAW
2007
IEEE
14 years 3 months ago
2007
IEEE
Peers and data objects in the Hybrid Overlay Network (HON) are organized in a ndimensional feature space. As the dimensionality increases, peers and data objects become sparse and ...
ACSC
2005
IEEE
14 years 4 months ago
2005
IEEE
The data mining inspired problem of finding the critical, and most useful features to be used to classify a data set, and construct rules to predict the class of future examples ...