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153
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KBS
2008
98views more  KBS 2008»
15 years 2 months ago
Mixed feature selection based on granulation and approximation
Feature subset selection presents a common challenge for the applications where data with tens or hundreds of features are available. Existing feature selection algorithms are mai...
Qinghua Hu, Jinfu Liu, Daren Yu
178
Voted
EC
2007
167views ECommerce» more  EC 2007»
15 years 3 months ago
Comparison-Based Algorithms Are Robust and Randomized Algorithms Are Anytime
Randomized search heuristics (e.g., evolutionary algorithms, simulated annealing etc.) are very appealing to practitioners, they are easy to implement and usually provide good per...
Sylvain Gelly, Sylvie Ruette, Olivier Teytaud
ICPR
2000
IEEE
16 years 4 months ago
Unsupervised Selection and Estimation of Finite Mixture Models
We propose a new method for fitting mixture models that performs component selection and does not require external initialization. The novelty of our approach includes: a minimum ...
Anil K. Jain, Mário A. T. Figueiredo
108
Voted
IEEESCC
2009
IEEE
15 years 10 months ago
A Backwards Composition Context Based Service Selection Approach for Service Composition
Abstract—In SOA applications are built from individual services offered by different providers. Typically an application comprises of several such services usually stemming from ...
HongQing Yu, Stephan Reiff-Marganiec
140
Voted
HIPC
2005
Springer
15 years 9 months ago
Sensor Selection Heuristic in Sensor Networks
We consider the problem of sensor selection so as to minimise error in estimated location of target. An algorithm based on selecting a sensor in a direction in which the error is ...
Vaishali P. Sadaphal, Bijendra N. Jain