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104
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CEC
2005
IEEE
15 years 9 months ago
Incorporating a Metropolis method in a distribution estimation using Markov random field algorithm
Abstract- Markov Random Field (MRF) modelling techniques have been recently proposed as a novel approach to probabilistic modelling for Estimation of Distribution Algorithms (EDAs)...
Siddhartha Shakya, John A. W. McCall, Deryck F. Br...
EMO
2006
Springer
170views Optimization» more  EMO 2006»
15 years 7 months ago
Robust Multi-Objective Optimization in High Dimensional Spaces
1 In most real world optimization problems several optimization goals have to be considered in parallel. For this reason, there has been a growing interest in Multi-Objective Optim...
André Sülflow, Nicole Drechsler, Rolf ...
SDM
2010
SIAM
165views Data Mining» more  SDM 2010»
15 years 5 months ago
Exact Passive-Aggressive Algorithm for Multiclass Classification Using Support Class
The Passive Aggressive framework [1] is a principled approach to online linear classification that advocates minimal weight updates i.e., the least required so that the current tr...
Shin Matsushima, Nobuyuki Shimizu, Kazuhiro Yoshid...
120
Voted
TJS
2008
95views more  TJS 2008»
15 years 3 months ago
Combating I-O bottleneck using prefetching: model, algorithms, and ramifications
Multiple memory models have been proposed to capture the effects of memory hierarchy culminating in the I-O model of Aggarwal and Vitter [?]. More than a decade of architectural a...
Akshat Verma, Sandeep Sen
108
Voted
GECCO
2007
Springer
155views Optimization» more  GECCO 2007»
15 years 10 months ago
COSMO: a correlation sensitive mutation operator for multi-objective optimization
This contribution is the first to discover exploitable structural features within circuit optimization problems (COP) and discuss how it is indicative of a general structure and ...
Varun Aggarwal, Una-May O'Reilly