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ISNN
2005
Springer
15 years 12 months 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 7 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
EUSFLAT
2003
105views Fuzzy Logic» more  EUSFLAT 2003»
15 years 7 months ago
Perception based functions with boundary conditions
The methods of reconstruction of perception based functions (PBF) given by the set of rules like “If X is SMALL then Y is VERY QUICKLY INCREASING”, “If X is BETWEEN A and B ...
Ildar Z. Batyrshin
CORR
2007
Springer
123views Education» more  CORR 2007»
15 years 6 months ago
Achieving the Gaussian Rate-Distortion Function by Prediction
Abstract— The “water-filling” solution for the quadratic ratedistortion function of a stationary Gaussian source is given in terms of its power spectrum. This formula natura...
Ram Zamir, Yuval Kochman, Uri Erez