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TCBB
2010
176views more  TCBB 2010»
15 years 4 months ago
Feature Selection for Gene Expression Using Model-Based Entropy
—Gene expression data usually contain a large number of genes, but a small number of samples. Feature selection for gene expression data aims at finding a set of genes that best...
Shenghuo Zhu, Dingding Wang, Kai Yu, Tao Li, Yihon...
SEMWEB
2010
Springer
15 years 4 months ago
An Expressive and Efficient Solution to the Service Selection Problem
Given the large number of Semantic Web Services that can be created from online sources by using existing annotation tools, expressive formalisms and efficient and scalable approac...
Daniel Izquierdo, Maria-Esther Vidal, Blai Bonet
JMLR
2012
13 years 9 months ago
Conditional Likelihood Maximisation: A Unifying Framework for Information Theoretic Feature Selection
We present a unifying framework for information theoretic feature selection, bringing almost two decades of research on heuristic filter criteria under a single theoretical inter...
Gavin Brown, Adam Pocock, Ming-Jie Zhao, Mikel Luj...
SDM
2012
SIAM
216views Data Mining» more  SDM 2012»
13 years 8 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
WWW
2009
ACM
16 years 7 months ago
Combining global optimization with local selection for efficient QoS-aware service composition
The run-time binding of web services has been recently put forward in order to support rapid and dynamic web service compositions. With the growing number of alternative web servi...
Mohammad Alrifai, Thomas Risse