114 search results - page 8 / 23 » Feature Subset Selection and Ranking for Data Dimensionality... |
103
Voted
ICML
2005
IEEE
16 years 14 days ago
2005
IEEE
Given a classification problem, our goal is to find a low-dimensional linear transformation of the feature vectors which retains information needed to predict the class labels. We...
124
Voted
BMCBI
2010
14 years 11 months ago
2010
Background: Feature selection is an important pre-processing task in the analysis of complex data. Selecting an appropriate subset of features can improve classification or cluste...
118
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SAC
2006
ACM
15 years 5 months ago
2006
ACM
“The curse of dimensionality” is pertinent to many learning algorithms, and it denotes the drastic raise of computational complexity and classification error in high dimension...
ICIP
2005
IEEE
16 years 1 months ago
2005
IEEE
In this paper we discuss a general framework for feature selection based on nonparametric statistics. The three stage approach we propose is based on the assumption that the avail...
103
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NN
2010
Springer
14 years 10 months ago
2010
Springer
The ratio of two probability density functions is becoming a quantity of interest these days in the machine learning and data mining communities since it can be used for various d...