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ICANN
2007
Springer
14 years 2 months ago
Input Selection for Radial Basis Function Networks by Constrained Optimization
Input selection in the nonlinear function approximation is important and difficult problem. Neural networks provide good generalization in many cases, but their interpretability is...
Jarkko Tikka
ANSS
2006
IEEE
14 years 2 months ago
Performance Enhancement by Eliminating Redundant Function Execution
Programs often call the same function with the same arguments, yielding the same results. We call this phenomenon, “function reuse”. Previously, we have shown such a behavior ...
Peng Chen, Krishna M. Kavi, Robert Akl
ANSS
2006
IEEE
14 years 2 months ago
Modeling and Optimization for the Design of IMS Networks
The IP Multimedia Subsystem (IMS) is envisioned as the solution for the next generation multimedia rich communication. Based on an open IP infrastructure, it enables convergence o...
Nisha Rajagopal, Michael Devetsikiotis
IJCNN
2006
IEEE
14 years 2 months ago
Learning to Segment Any Random Vector
— We propose a method that takes observations of a random vector as input, and learns to segment each observation into two disjoint parts. We show how to use the internal coheren...
Aapo Hyvärinen, Jukka Perkiö
IJCNN
2006
IEEE
14 years 2 months ago
Leave-One-Out Cross-Validation Based Model Selection Criteria for Weighted LS-SVMs
Abstract— While the model parameters of many kernel learning methods are given by the solution of a convex optimisation problem, the selection of good values for the kernel and r...
Gavin C. Cawley