114 search results - page 2 / 23 » Feature Subset Selection and Ranking for Data Dimensionality... |
AI
2004
Springer
13 years 7 months ago
2004
Springer
Feature selection, as a preprocessing step to machine learning, has been very effective in reducing dimensionality, removing irrelevant data, increasing learning accuracy, and imp...
BMCBI
2010
13 years 7 months ago
2010
Background: Generally speaking, different classifiers tend to work well for certain types of data and conversely, it is usually not known a priori which algorithm will be optimal ...
ACMSE
2010
ACM
13 years 2 months ago
2010
ACM
The ranking problem appears in many areas of study such as customer rating, social science, economics, and information retrieval. Ranking can be formulated as a classification pro...
CIARP
2006
Springer
13 years 11 months ago
2006
Springer
Abstract. A major characteristic of text document categorization problems is the extremely high dimensionality of text data. In this paper we explore the usability of the Oscillati...
FUZZIEEE
2007
IEEE
14 years 1 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...