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GECCO
2007
Springer
155views Optimization» more  GECCO 2007»
15 years 10 months ago
Solving the MAXSAT problem using a multivariate EDA based on Markov networks
Markov Networks (also known as Markov Random Fields) have been proposed as a new approach to probabilistic modelling in Estimation of Distribution Algorithms (EDAs). An EDA employ...
Alexander E. I. Brownlee, John A. W. McCall, Deryc...
ICPR
2004
IEEE
16 years 5 months ago
Feature Selection and Gene Clustering from Gene Expression Data
In this article we describe an algorithm for feature selection and gene clustering from high dimensional gene expression data. The method is based on measuring similarity between ...
D. Dutta Majumder, Pabitra Mitra
APIN
2006
168views more  APIN 2006»
15 years 4 months ago
Utilizing Genetic Algorithms to Optimize Membership Functions for Fuzzy Weighted Association Rules Mining
It is not an easy task to know a priori the most appropriate fuzzy sets that cover the domains of quantitative attributes for fuzzy association rules mining. In general, it is unre...
Mehmet Kaya, Reda Alhajj
SDM
2008
SIAM
136views Data Mining» more  SDM 2008»
15 years 5 months ago
Exploration and Reduction of the Feature Space by Hierarchical Clustering
In this paper we propose and test the use of hierarchical clustering for feature selection. The clustering method is Ward's with a distance measure based on GoodmanKruskal ta...
Dino Ienco, Rosa Meo
ICCD
1994
IEEE
142views Hardware» more  ICCD 1994»
15 years 8 months ago
Grammar-Based Optimization of Synthesis Scenarios
Systems for multi-level logic optimization are usually based on a set of specialized, loosely-related transformations which work on a network representation. The sequence of trans...
Andreas Kuehlmann, Lukas P. P. P. van Ginneken