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» Machine learning problems from optimization perspective
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ISDA
2008
IEEE
14 years 4 months ago
Combining Clustering and Bayesian Network for Gene Network Inference
Gene network reconstruction is a multidisciplinary research area involving data mining, machine learning, statistics, ontologies and others. Reconstructed gene network allows us t...
Suhaila Zainudin, Safaai Deris
ECTEL
2007
Springer
14 years 4 months ago
An Interoperability Infrastructure for Distributed Feed Networks
Blogs have the aordance to become an integral part of teaching and learning processes as a vehicle for knowledge management. Open, exible systems integrating blogs provide user-f...
Fridolin Wild, Steinn E. Sigurðarson, Stefan S...
CVPR
2006
IEEE
15 years 8 days ago
Image Denoising with Shrinkage and Redundant Representations
Shrinkage is a well known and appealing denoising technique. The use of shrinkage is known to be optimal for Gaussian white noise, provided that the sparsity on the signal's ...
Michael Elad, Boaz Matalon, Michael Zibulevsky
CEC
2007
IEEE
14 years 4 months ago
A study on the design issues of Memetic Algorithm
— Over the recent years, there has been increasing research activities made on improving the efficacy of Memetic Algorithm (MA) for solving complex optimization problems. Partic...
Q. H. Nguyen, Yew-Soon Ong, Natalio Krasnogor
GECCO
2007
Springer
200views Optimization» more  GECCO 2007»
14 years 4 months ago
Adaptive genetic programming for option pricing
Genetic Programming (GP) is an automated computational programming methodology, inspired by the workings of natural evolution techniques. It has been applied to solve complex prob...
Zheng Yin, Anthony Brabazon, Conall O'Sullivan