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» An algorithmic approach to knowledge evolution
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176
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CEC
2009
IEEE
16 years 1 months ago
A Bacterial Evolutionary Algorithm for automatic data clustering
This paper describes an evolutionary clustering algorithm, which can partition a given dataset automatically into the optimal number of groups through one shot of optimization. The...
Swagatam Das, Archana Chowdhury, Ajith Abraham
GECCO
2006
Springer
226views Optimization» more  GECCO 2006»
15 years 10 months ago
Segmentation of medical images using a genetic algorithm
Segmentation of medical images is challenging due to poor image contrast and artifacts that result in missing or diffuse organ/tissue boundaries. Consequently, this task involves ...
Payel Ghosh, Melanie Mitchell
GECCO
2007
Springer
179views Optimization» more  GECCO 2007»
16 years 28 days ago
Evolutionary selection of minimum number of features for classification of gene expression data using genetic algorithms
Selecting the most relevant factors from genetic profiles that can optimally characterize cellular states is of crucial importance in identifying complex disease genes and biomark...
Alper Küçükural, Reyyan Yeniterzi...
MM
2005
ACM
158views Multimedia» more  MM 2005»
16 years 9 days ago
Semantic knowledge extraction and annotation for web images
Nowadays, images have become widely available on the World Wide Web (WWW). It’s essential to develop effective ways for managing and retrieving such abundant images. Advantageou...
Zhigang Hua, Xiang-Jun Wang, Qingshan Liu, Hanqing...
188
Voted
ICCS
2004
Springer
16 years 4 days ago
Using Runtime Measurements and Historical Traces for Acquiring Knowledge in Parallel Applications
Abstract. A new approach for acquiring knowledge of parallel applications regarding resource usage and for searching similarity on workload traces is presented. The main goal is to...
Luciano José Senger, Marcos José San...