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» An Experimental Study on Feature Subset Selection Methods
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BMEI
2008
IEEE
15 years 5 months ago
Clustering of High-Dimensional Gene Expression Data with Feature Filtering Methods and Diffusion Maps
The importance of gene expression data in cancer diagnosis and treatment by now has been widely recognized by cancer researchers in recent years. However, one of the major challen...
Rui Xu, Steven Damelin, Boaz Nadler, Donald C. Wun...
BMCBI
2008
106views more  BMCBI 2008»
15 years 4 months ago
A machine vision system for automated non-invasive assessment of cell viability via dark field microscopy, wavelet feature selec
Background: Cell viability is one of the basic properties indicating the physiological state of the cell, thus, it has long been one of the major considerations in biotechnologica...
Ning Wei, Erwin Flaschel, Karl Friehs, Tim W. Natt...
SIGIR
2009
ACM
15 years 10 months ago
Feature selection for automatic taxonomy induction
Most existing automatic taxonomy induction systems exploit one or more features to induce a taxonomy; nevertheless there is no systematic study examining which are the best featur...
Hui Yang, Jamie Callan
CMMR
2007
Springer
104views Music» more  CMMR 2007»
15 years 10 months ago
Semiotics of Sounds Evoking Motions: Categorization and Acoustic Features
Abstract. The current study is part of a larger project aiming at offering intuitive mappings of control parameters piloting synthesis models by semantic descriptions of sounds, i...
Adrien Merer, Sølvi Ystad, Richard Kronland...
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ICANN
2009
Springer
15 years 1 months ago
Mining Rules for the Automatic Selection Process of Clustering Methods Applied to Cancer Gene Expression Data
Different algorithms have been proposed in the literature to cluster gene expression data, however there is no single algorithm that can be considered the best one independently on...
André C. A. Nascimento, Ricardo Bastos Cava...