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» Experimental Design for Variable Selection in Data Bases
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VIS
2008
IEEE
204views Visualization» more  VIS 2008»
16 years 7 months ago
Surface Extraction from Multi-field Particle Volume Data Using Multi-dimensional Cluster Visualization
Data sets resulting from physical simulations typically contain a multitude of physical variables. It is, therefore, desirable that visualization methods take into account the enti...
Lars Linsen, Tran Van Long, Paul Rosenthal, Ste...
NLPRS
2001
Springer
15 years 10 months ago
An Empirical Study of Feature Set Selection for Text Chunking
This paper presents an empirical study for improving the performance of text chunking. We focus on two issues: the problem of selecting feature spaces, and the problem of alleviat...
Young-Sook Hwang, Yong-Jae Kwak, Hoo-Jung Chung, S...
FUZZIEEE
2007
IEEE
16 years 13 days ago
Tolerance-based and Fuzzy-Rough Feature Selection
— One of the main obstacles facing the application of computational intelligence technologies in pattern recognition (and indeed in many other tasks) is that of dataset dimension...
Richard Jensen, Qiang Shen
SMI
2008
IEEE
127views Image Analysis» more  SMI 2008»
16 years 14 days ago
Optimal bandwidth selection for MLS surfaces
We address the problem of bandwidth selection in MLS surfaces. While the problem has received relatively little attention in the literature, we show that appropriate selection pla...
Hao Wang, Carlos Eduardo Scheidegger, Cláud...
AAAI
2004
15 years 7 months ago
Bayesian Network Classifiers Versus k-NN Classifier Using Sequential Feature Selection
The aim of this paper is to compare Bayesian network classifiers to the k-NN classifier based on a subset of features. This subset is established by means of sequential feature se...
Franz Pernkopf