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» Consistency measures for feature selection
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APBC
2004
132views Bioinformatics» more  APBC 2004»
15 years 5 months ago
A Novel Feature Selection Method to Improve Classification of Gene Expression Data
This paper introduces a novel method for minimum number of gene (feature) selection for a classification problem based on gene expression data with an objective function to maximi...
Liang Goh, Qun Song, Nikola K. Kasabov
SBACPAD
2005
IEEE
176views Hardware» more  SBACPAD 2005»
15 years 10 months ago
Analyzing and Improving Clustering Based Sampling for Microprocessor Simulation
The time required to simulate a complete benchmark program using the cycle-accurate model of a microprocessor can be prohibitively high. One of the proposed methodologies, represe...
Yue Luo, Ajay Joshi, Aashish Phansalkar, Lizy Kuri...
SEBD
2008
169views Database» more  SEBD 2008»
15 years 5 months ago
Clustering the Feature Space
Abstract Dino Ienco and Rosa Meo Dipartimento di Informatica, Universit`a di Torino, Italy In this paper we propose and test the use of hierarchical clustering for feature selectio...
Dino Ienco, Rosa Meo
ICMCS
2006
IEEE
101views Multimedia» more  ICMCS 2006»
15 years 10 months ago
Internet Traffic Classification for Scalable QOS Provision
A new scheme that classifies the Internet traffic according to their application types for scalable QoS provision is proposed in this work. The traditional port-based classific...
Junghun Park, Hsiao-Rong Tyan, C. C. Jay Kuo
BIOINFORMATICS
2006
92views more  BIOINFORMATICS 2006»
15 years 4 months ago
What should be expected from feature selection in small-sample settings
Motivation: High-throughput technologies for rapid measurement of vast numbers of biological variables offer the potential for highly discriminatory diagnosis and prognosis; howev...
Chao Sima, Edward R. Dougherty