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91
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PR
2006
80views more  PR 2006»
15 years 3 months ago
Neighborhood size selection in the k-nearest-neighbor rule using statistical confidence
The k-nearest-neighbor rule is one of the most attractive pattern classification algorithms. In practice, the choice of k is determined by the cross-validation method. In this wor...
Jigang Wang, Predrag Neskovic, Leon N. Cooper
136
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ESWA
2007
100views more  ESWA 2007»
15 years 3 months ago
Using memetic algorithms with guided local search to solve assembly sequence planning
The goal of assembly planning consists in generating feasible sequences to assemble a product and selecting an efficient assembly sequence from which related constraint factors su...
Hwai-En Tseng, Wen-Pai Wang, Hsun-Yi Shih
143
Voted
ICMCS
2005
IEEE
111views Multimedia» more  ICMCS 2005»
15 years 9 months ago
An Optimized Key-Frames Extraction Scheme Based on SVD and Correlation Minimization
In this paper an optimized and efficient technique for keyframes extraction of video sequences is proposed, which leads to selection of a meaningful set of video frames for each g...
Klimis S. Ntalianis, Stefanos D. Kollias
133
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GECCO
2007
Springer
194views Optimization» more  GECCO 2007»
15 years 9 months ago
Hybrid coevolutionary algorithms vs. SVM algorithms
As a learning method support vector machine is regarded as one of the best classifiers with a strong mathematical foundation. On the other hand, evolutionary computational techniq...
Rui Li, Bir Bhanu, Krzysztof Krawiec
116
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MLDM
2009
Springer
15 years 10 months ago
Discretization of Target Attributes for Subgroup Discovery
Abstract. We describe an algorithm called TargetCluster for the discretization of continuous targets in subgroup discovery. The algorithm identifies patterns in the target data an...
Katherine Moreland, Klaus Truemper