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IJCNN
2007
IEEE
16 years 1 months ago
Parallel Learning of Large Fuzzy Cognitive Maps
— Fuzzy Cognitive Maps (FCMs) are a class of discrete-time Artificial Neural Networks that are used to model dynamic systems. A recently introduced supervised learning method, wh...
Wojciech Stach, Lukasz A. Kurgan, Witold Pedrycz
GECCO
2007
Springer
158views Optimization» more  GECCO 2007»
16 years 1 months ago
A leader-based parallel cross entropy algorithm for MCP
The Cross Entropy algorithm is a new search method for combinatorial problem. However, it needs considerable computational time to achieve good solution quality. To make the Cross...
Zhanhua Bai, Qiang Lv
CCGRID
2006
IEEE
16 years 28 days ago
GridFTP-APT: Automatic Parallelism Tuning Mechanism for Data Transfer Protocol GridFTP
GridFTP has been used as a data transfer protocol to effectively transfer a large volume of data in Grid computing. GridFTP supports a feature called parallel data transfer that i...
Takeshi Ito, Hiroyuki Ohsaki, Makoto Imase
ICPP
2006
IEEE
16 years 28 days ago
Parallel Information Extraction on Shared Memory Multi-processor System
Text Mining is one of the best solutions for today and the future’s information explosion. With the development of modern processor technologies, it will be a mass market deskto...
Jiulong Shan, Yurong Chen, Qian Diao, Yimin Zhang
PDP
2006
IEEE
16 years 27 days ago
A Single-Loop Approach to SIMD Parallelization of 2-D Wavelet Lifting
Widespread use of wavelet transforms as in JPEG2000 demands efficient implementations on general purpose computers as well as dedicated hardware. The increasing availability of S...
Rade Kutil