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CEC
2010
IEEE
14 years 9 months ago
Novel multimodal problems and differential evolution with ensemble of restricted tournament selection
Multi-modal optimization refers to locating not only one optimum but a set of locally optimal solutions. Niching is an important technique to solve multi-modal optimization problem...
Bo-Yang Qu, Ponnuthurai Nagaratnam Suganthan
112
Voted
CVPR
2003
IEEE
16 years 2 months ago
Robust Data Clustering
We address the problem of robust clustering by combining data partitions (forming a clustering ensemble) produced by multiple clusterings. We formulate robust clustering under an ...
Ana L. N. Fred, Anil K. Jain
BMCBI
2004
205views more  BMCBI 2004»
15 years 10 days ago
A combinational feature selection and ensemble neural network method for classification of gene expression data
Background: Microarray experiments are becoming a powerful tool for clinical diagnosis, as they have the potential to discover gene expression patterns that are characteristic for...
Bing Liu, Qinghua Cui, Tianzi Jiang, Songde Ma
129
Voted
MCS
2007
Springer
15 years 6 months ago
Random Feature Subset Selection for Ensemble Based Classification of Data with Missing Features
Abstract. We report on our recent progress in developing an ensemble of classifiers based algorithm for addressing the missing feature problem. Inspired in part by the random subsp...
Joseph DePasquale, Robi Polikar
101
Voted
ACL
2007
15 years 1 months ago
An Ensemble Method for Selection of High Quality Parses
While the average performance of statistical parsers gradually improves, they still attach to many sentences annotations of rather low quality. The number of such sentences grows ...
Roi Reichart, Ari Rappoport