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» Experimental Comparison of Feature Subset Selection Methods
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115
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ISNN
2007
Springer
15 years 8 months ago
Memetic Algorithms for Feature Selection on Microarray Data
In this paper, we present two novel memetic algorithms (MAs) for gene selection. Both are synergies of Genetic Algorithm (wrapper methods) and local search methods (filter methods...
Zexuan Zhu, Yew-Soon Ong
134
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BMCBI
2004
181views more  BMCBI 2004»
15 years 2 months ago
Iterative class discovery and feature selection using Minimal Spanning Trees
Background: Clustering is one of the most commonly used methods for discovering hidden structure in microarray gene expression data. Most current methods for clustering samples ar...
Sudhir Varma, Richard Simon
BMCBI
2005
190views more  BMCBI 2005»
15 years 2 months ago
An Entropy-based gene selection method for cancer classification using microarray data
Background: Accurate diagnosis of cancer subtypes remains a challenging problem. Building classifiers based on gene expression data is a promising approach; yet the selection of n...
Xiaoxing Liu, Arun Krishnan, Adrian Mondry
107
Voted
IDEAL
2004
Springer
15 years 8 months ago
Wrapper for Ranking Feature Selection
We propose a new feature selection criterion not based on calculated measures between attributes, or complex and costly distance calculations. Applying a wrapper to the output of a...
Roberto Ruiz, Jesús S. Aguilar-Ruiz, Jos&ea...
SAMT
2009
Springer
176views Multimedia» more  SAMT 2009»
15 years 9 months ago
Shape-Based Autotagging of 3D Models for Retrieval
This paper describes an automatic annotation, or autotagging, algorithm that attaches textual tags to 3D models based on their shape and semantic classes. The proposed method emplo...
Ryutarou Ohbuchi, Shun Kawamura