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CEC
2008
IEEE
14 years 2 months ago
Dynamic adaptation and multiobjective concepts in a particle swarm optimizer for constrained optimization
— In this paper, we propose a novel approach to solve constrained optimization problems based on particle swarm optimization (PSO). First, an empirical comparison of the most pop...
Jorge Isacc Flores-Mendoza, Efrén Mezura-Mo...
ICDM
2002
IEEE
158views Data Mining» more  ICDM 2002»
14 years 1 months ago
Adaptive dimension reduction for clustering high dimensional data
It is well-known that for high dimensional data clustering, standard algorithms such as EM and the K-means are often trapped in local minimum. Many initialization methods were pro...
Chris H. Q. Ding, Xiaofeng He, Hongyuan Zha, Horst...
ICWL
2009
Springer
14 years 22 days ago
Applying a Web and Simulation-Based System for Adaptive Competence Assessment of Spinal Anaesthesia
The authors present an approach for implementing a system for the assessment of medical competences using a haptic simulation device. Based on Competence based Knowledge Space Theo...
Cord Hockemeyer, Alexander Nussbaumer, Erik Lö...
ICSC
1995
Springer
13 years 11 months ago
An Adaptive Supersampling Method
Original z-bu er method is a very ecient method for image generation. The limitation is that it introduces aliases into the output image. Although many di erent kinds of methods h...
Rynson W. H. Lau
ICONIP
2008
13 years 9 months ago
Improved Mass Spectrometry Peak Intensity Prediction by Adaptive Feature Weighting
Mass spectrometry (MS) is a key technique for the analysis and identification of proteins. A prediction of spectrum peak intensities from pre computed molecular features would pave...
Alexandra Scherbart, Wiebke Timm, Sebastian Bö...