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» A Combination Method for Generating Interpolants
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GECCO
2005
Springer
153views Optimization» more  GECCO 2005»
15 years 10 months ago
Evolving neural network ensembles for control problems
In neuroevolution, a genetic algorithm is used to evolve a neural network to perform a particular task. The standard approach is to evolve a population over a number of generation...
David Pardoe, Michael S. Ryoo, Risto Miikkulainen
ISCIS
2004
Springer
15 years 10 months ago
Software Testing via Model Checking
Testing is a necessary, but costly process for user-centric quality control. Moreover, testing is not comprehensive enough to completely detect faults. Many formal methods have bee...
Fevzi Belli, Baris Güldali
PARA
2004
Springer
15 years 9 months ago
A Family of High-Performance Matrix Multiplication Algorithms
During the last half-decade, a number of research efforts have centered around developing software for generating automatically tuned matrix multiplication kernels. These include ...
John A. Gunnels, Fred G. Gustavson, Greg Henry, Ro...
ICDM
2003
IEEE
99views Data Mining» more  ICDM 2003»
15 years 9 months ago
Scalable Model-based Clustering by Working on Data Summaries
The scalability problem in data mining involves the development of methods for handling large databases with limited computational resources. In this paper, we present a two-phase...
Huidong Jin, Man Leung Wong, Kwong-Sak Leung
VISUALIZATION
2002
IEEE
15 years 9 months ago
QuadTIN: Quadtree based Triangulated Irregular Networks
Interactive visualization of large digital elevation models is of continuing interest in scientific visualization, GIS, and virtual reality applications. Taking advantage of the r...
Renato Pajarola, Marc Antonijuan, Roberto Lario