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» Towards feature selection in network
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IWANN
2011
Springer
12 years 7 months ago
A Preliminary Study on the Use of Fuzzy Rough Set Based Feature Selection for Improving Evolutionary Instance Selection Algorith
In recent years, the increasing interest in fuzzy rough set theory has allowed the definition of novel accurate methods for feature selection. Although their stand-alone applicati...
Joaquín Derrac, Chris Cornelis, Salvador Ga...
ICDAR
2003
IEEE
13 years 10 months ago
Unsupervised Feature Selection Using Multi-Objective Genetic Algorithms for Handwritten Word Recognition
In this paper a methodology for feature selection in unsupervised learning is proposed. It makes use of a multiobjective genetic algorithm where the minimization of the number of ...
Marisa E. Morita, Robert Sabourin, Flávio B...
HCI
2009
13 years 2 months ago
Feature Extraction and Selection for Inferring User Engagement in an HCI Environment
We present our work towards estimating the engagement of a person to the displayed information of a computer monitor. Deciding whether a user is attentive or not, and frustrated or...
Stylianos Asteriadis, Kostas Karpouzis, Stefanos D...
ICANN
2010
Springer
13 years 2 months ago
The Support Feature Machine for Classifying with the Least Number of Features
We propose the so-called Support Feature Machine (SFM) as a novel approach to feature selection for classification, based on minimisation of the zero norm of a separating hyperplan...
Sascha Klement, Thomas Martinetz
BMCBI
2010
178views more  BMCBI 2010»
13 years 5 months ago
Selecting high-dimensional mixed graphical models using minimal AIC or BIC forests
Background: Chow and Liu showed that the maximum likelihood tree for multivariate discrete distributions may be found using a maximum weight spanning tree algorithm, for example K...
David Edwards, Gabriel C. G. de Abreu, Rodrigo Lab...