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EOR
2002
165views more  EOR 2002»
13 years 8 months ago
Review of ranking methods in the data envelopment analysis context
Within data envelopment analysis (DEA) is a sub-group of papers in which many researchers have sought to improve the differential capabilities of DEA and to fully rank both effici...
Nicole Adler, Lea Friedman, Zilla Sinuany-Stern
DAGSTUHL
2009
13 years 9 months ago
Advances in Feature Selection with Mutual Information
The selection of features that are relevant for a prediction or classification problem is an important problem in many domains involving high-dimensional data. Selecting features h...
Michel Verleysen, Fabrice Rossi, Damien Fran&ccedi...
GECCO
2009
Springer
199views Optimization» more  GECCO 2009»
14 years 1 months ago
Using behavioral exploration objectives to solve deceptive problems in neuro-evolution
Encouraging exploration, typically by preserving the diversity within the population, is one of the most common method to improve the behavior of evolutionary algorithms with dece...
Jean-Baptiste Mouret, Stéphane Doncieux
BMCBI
2006
126views more  BMCBI 2006»
13 years 8 months ago
A Regression-based K nearest neighbor algorithm for gene function prediction from heterogeneous data
Background: As a variety of functional genomic and proteomic techniques become available, there is an increasing need for functional analysis methodologies that integrate heteroge...
Zizhen Yao, Walter L. Ruzzo
KDD
2004
ACM
163views Data Mining» more  KDD 2004»
14 years 9 months ago
Exploiting dictionaries in named entity extraction: combining semi-Markov extraction processes and data integration methods
We consider the problem of improving named entity recognition (NER) systems by using external dictionaries--more specifically, the problem of extending state-of-the-art NER system...
William W. Cohen, Sunita Sarawagi