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GECCO
2005
Springer
16 years 28 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 28 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 7 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...