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» Genetic Algorithms for Dynamic Test Data Generation
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FSKD
2005
Springer
95views Fuzzy Logic» more  FSKD 2005»
15 years 8 months ago
The Fuzzy Mega-cluster: Robustifying FCM by Scaling Down Memberships
A new robust clustering scheme based on fuzzy c-means is proposed and the concept of a fuzzy mega-cluster is introduced in this paper. The fuzzy mega-cluster is conceptually simila...
Amit Banerjee, Rajesh N. Davé
GEOINFO
2007
15 years 4 months ago
Polygon Clipping and Polygon Reconstruction
Polygon clipping is an important operation that computers execute all the time. An algorithm that clips a polygon is rather complex. Each edge of the polygon must be tested against...
Leonardo Guerreiro Azevedo, Ralf Hartmut Güti...
CEC
2007
IEEE
15 years 9 months ago
Non-separable fitness functions for evolutionary shape optimization benchmarking
—Target shape matching can be used as a quick and easy surrogate task when evaluating optimization algorithms intended for computationally expensive tasks, such as turbine blade ...
Tim A. Yates, Thorsten Schnier
RECSYS
2010
ACM
15 years 3 months ago
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Since the development of the comparably simple neighborhood-based methods in the 1990s, a plethora of techniques has been developed to improve various aspects of collaborative fil...
Fatih Gedikli, Dietmar Jannach
BMCBI
2010
161views more  BMCBI 2010»
15 years 3 months ago
GeneMesh: a web-based microarray analysis tool for relating differentially expressed genes to MeSH terms
Background: An important objective of DNA microarray-based gene expression experimentation is determining interrelationships that exist between differentially expressed genes and ...
Saurin D. Jani, Gary L. Argraves, Jeremy L. Barth,...