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» Unsupervised Feature Selection Using Feature Similarity
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SDM
2009
SIAM
149views Data Mining» more  SDM 2009»
14 years 7 months ago
Near-optimal Supervised Feature Selection among Frequent Subgraphs.
Graph classification is an increasingly important step in numerous application domains, such as function prediction of molecules and proteins, computerised scene analysis, and an...
Alexander J. Smola, Arthur Gretton, Hans-Peter Kri...
COMPLEXITY
2004
165views more  COMPLEXITY 2004»
13 years 10 months ago
Sex promotes gamete selection: A quantitative comparative study of features favoring the evolution of sex
: Explaining the maintenance of sexual reproduction remains one of the greatest challenges in biology. The theoretical oddity of sex is based on at least three advantages that asex...
Klaus Jaffe
ICML
1998
IEEE
14 years 11 months ago
Feature Selection via Concave Minimization and Support Vector Machines
Computational comparison is made between two feature selection approaches for nding a separating plane that discriminates between two point sets in an n-dimensional feature space ...
Paul S. Bradley, Olvi L. Mangasarian
ALGORITHMICA
2006
74views more  ALGORITHMICA 2006»
13 years 10 months ago
Parallelizing Feature Selection
Classification is a key problem in machine learning/data mining. Algorithms for classification have the ability to predict the class of a new instance after having been trained on...
Jerffeson Teixeira de Souza, Stan Matwin, Nathalie...
IBPRIA
2005
Springer
14 years 3 months ago
Gabor Parameter Selection for Local Feature Detection
Abstract. Some recent works have addressed the object recognition problem by representing objects as the composition of independent image parts, where each part is modeled with “...
Plinio Moreno, Alexandre Bernardino, José S...