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» A fuzzy approach to automatic data locality optimization
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GECCO
2003
Springer
110views Optimization» more  GECCO 2003»
15 years 2 months ago
Evolutionary Multiobjective Optimization for Generating an Ensemble of Fuzzy Rule-Based Classifiers
One advantage of evolutionary multiobjective optimization (EMO) algorithms over classical approaches is that many non-dominated solutions can be simultaneously obtained by their si...
Hisao Ishibuchi, Takashi Yamamoto
CDC
2009
IEEE
138views Control Systems» more  CDC 2009»
14 years 7 months ago
Beyond local optimality: An improved approach to hybrid model learning
Abstract-- Local convergence is a limitation of many optimization approaches for multimodal functions. For hybrid model learning, this can mean a compromise in accuracy. We develop...
Stephanie Gil, Brian Williams
FLAIRS
2006
14 years 11 months ago
GFAM: Evolving Fuzzy ARTMAP Neural Networks
Fuzzy ARTMAP (FAM) is one of the best neural network architectures in solving classification problems. One of the limitations of Fuzzy ARTMAP that has been extensively reported in...
Ahmad Al-Daraiseh, Michael Georgiopoulos, Annie S....
88
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BMEI
2008
IEEE
15 years 4 months ago
A New Approach for Tree Alignment Based on Local Re-Optimization
Multiple sequence alignment is the most fundamental task in bioinformatics and computational biology. In this paper, we present a new algorithm to conduct multiple sequences align...
Feng Yue, Jijun Tang
ECCV
1998
Springer
15 years 11 months ago
Multi-Step Procedures for the Localization of 2D and 3D Point Landmarks and Automatic ROI Size Selection
In this contribution, we are concerned with the detection and re ned localization of 3D point landmarks. We propose multi-step di erential procedures for subvoxel localization of 3...
Sönke Frantz, Karl Rohr, H. Siegfried Stiehl