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214
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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
185
Voted
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 1 months 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
195
Voted
ICPP
2006
IEEE
16 years 1 months 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 1 months 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