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FSS
2010
147views more  FSS 2010»
15 years 4 months ago
A divide and conquer method for learning large Fuzzy Cognitive Maps
Fuzzy Cognitive Maps (FCMs) are a convenient tool for modeling and simulating dynamic systems. FCMs were applied in a large number of diverse areas and have already gained momentu...
Wojciech Stach, Lukasz A. Kurgan, Witold Pedrycz
CLUSTER
2004
IEEE
15 years 6 months ago
MPI/FT: A Model-Based Approach to Low-Overhead Fault Tolerant Message-Passing Middleware
Fault tolerance in parallel systems has traditionally been achieved through a combination of redundancy and checkpointing methods. This notion has also been extended to message-pas...
Rajanikanth Batchu, Yoginder S. Dandass, Anthony S...
COMCOM
2006
112views more  COMCOM 2006»
15 years 6 months ago
Dynamic server selection using fuzzy inference in content distribution networks
To accommodate the exponential growth of Web traffic, Content Distribution Networks (CDN) have been designed and deployed to distribute content to different cache servers, and to ...
Lin Cai, Jun Ye, Jianping Pan, Xuemin Shen, Jon W....
DILS
2005
Springer
15 years 11 months ago
The Multiple Roles of Ontologies in the BioMediator Data Integration System
BioMediator is a data integration system that provides a common interface to multiple Internet-accessible databases containing information about genetics and molecular biology. Ont...
Peter Mork, Ron Shaker, Peter Tarczy-Hornoch
ESANN
2007
15 years 7 months ago
How to process uncertainty in machine learning?
Uncertainty is a popular phenomenon in machine learning and a variety of methods to model uncertainty at different levels has been developed. The aim of this paper is to motivate ...
Barbara Hammer, Thomas Villmann