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SDM
2012
SIAM
216views Data Mining» more  SDM 2012»
13 years 4 months ago
Feature Selection "Tomography" - Illustrating that Optimal Feature Filtering is Hopelessly Ungeneralizable
:  Feature Selection “Tomography” - Illustrating that Optimal Feature Filtering is Hopelessly Ungeneralizable George Forman HP Laboratories HPL-2010-19R1 Feature selection; ...
George Forman
106
Voted
SGAI
2004
Springer
15 years 7 months ago
Overfitting in Wrapper-Based Feature Subset Selection: The Harder You Try the Worse it Gets
In Wrapper based feature selection, the more states that are visited during the search phase of the algorithm the greater the likelihood of finding a feature subset that has a high...
John Loughrey, Padraig Cunningham
GRC
2008
IEEE
15 years 2 months ago
Fuzzy Entropy based Max-Relevancy and Min-Redundancy Feature Selection
Feature selection is an important problem for pattern classification systems. Mutual information is a good indicator of relevance between variables, and has been used as a measure...
Shuang An, Qinghua Hu, Daren Yu
ICML
2009
IEEE
16 years 2 months ago
The adaptive k-meteorologists problem and its application to structure learning and feature selection in reinforcement learning
The purpose of this paper is three-fold. First, we formalize and study a problem of learning probabilistic concepts in the recently proposed KWIK framework. We give details of an ...
Carlos Diuk, Lihong Li, Bethany R. Leffler
CIARP
2006
Springer
15 years 5 months ago
Oscillating Feature Subset Search Algorithm for Text Categorization
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...
Jana Novovicová, Petr Somol, Pavel Pudil