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GECCO
2005
Springer
16 years 8 days ago
Function choice, resiliency and growth in genetic programming
In this paper we examine how the choice of functions in a genetic program (GP) affects the rate of code growth and the development of resilient individuals. We find that functio...
Sireesha Besetti, Terence Soule
ISNN
2005
Springer
16 years 7 days ago
Scaling the Kernel Function to Improve Performance of the Support Vector Machine
Abstract. The present study investigates a geometrical method for optimizing the kernel function of a support vector machine. The method is an improvement of the one proposed in [4...
Peter Williams, Sheng Li, Jianfeng Feng, Si Wu
USENIX
2000
15 years 8 months ago
Dynamic Function Placement for Data-Intensive Cluster Computing
Optimally partitioning application and filesystem functionality within a cluster of clients and servers is a difficult problem due to dynamic variations in application behavior, r...
Khalil Amiri, David Petrou, Gregory R. Ganger, Gar...
FSS
2002
99views more  FSS 2002»
15 years 6 months ago
Extreme physical information and objective function in fuzzy clustering
Fuzzy clustering algorithms have been widely studied and applied in a variety of areas. They become the major techniques7 in cluster analysis. In this paper, we focus on objective...
Michel Ménard, Michel Eboueya
ETFA
2008
IEEE
16 years 1 months ago
Evaluation of Sequential Function Charts execution techniques. The Active Steps Algorithm
Programmable Logic Controllers (PLCs) play a significant role in the control of production systems and Sequential Function Chart (SFC) is one of the main programming languages. Th...
Ramon Piedrafita Moreno, José Luis Villarro...