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» An Experimental Study on Feature Subset Selection Methods
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ML
2000
ACM
244views Machine Learning» more  ML 2000»
14 years 11 months ago
Learnable Evolution Model: Evolutionary Processes Guided by Machine Learning
A new class of evolutionary computation processes is presented, called Learnable Evolution Model or LEM. In contrast to Darwinian-type evolution that relies on mutation, recombinat...
Ryszard S. Michalski
INFOCOM
2010
IEEE
14 years 10 months ago
Compressive Sensing Based Positioning Using RSS of WLAN Access Points
Abstract— The sparse nature of location finding problem makes the theory of compressive sensing desirable for indoor positioning in Wireless Local Area Networks (WLANs). In this...
Chen Feng, Wain Sy Anthea Au, Shahrokh Valaee, Zhe...
AOR
2010
14 years 9 months ago
Solutions diversification in a column generation algorithm
Column generation algorithms have been specially designed for solving mathematical programs with a huge number of variables. Unfortunately, this method suffers from slow convergen...
Nora Touati Moungla, Lucas Létocart, Anass ...
CEC
2011
IEEE
13 years 11 months ago
Effective ranking + speciation = Many-objective optimization
—Multiobjective optimization problems have been widely addressed using evolutionary computation techniques. However, when dealing with more than three conflicting objectives (th...
Mario Garza-Fabre, Gregorio Toscano Pulido, Carlos...
SDM
2012
SIAM
233views Data Mining» more  SDM 2012»
13 years 2 months ago
On Finding Joint Subspace Boolean Matrix Factorizations
Finding latent factors of the data using matrix factorizations is a tried-and-tested approach in data mining. But finding shared factors over multiple matrices is more novel prob...
Pauli Miettinen