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IJIT
2004
13 years 10 months ago
A Comparison of First and Second Order Training Algorithms for Artificial Neural Networks
Minimization methods for training feed-forward networks with Backpropagation are compared. Feedforward network training is a special case of functional minimization, where no expli...
Syed Muhammad Aqil Burney, Tahseen Ahmed Jilani, C...
WSCG
2004
169views more  WSCG 2004»
13 years 10 months ago
Distance Field Compression
This paper compares various techniques for compressing floating point distance fields. Both lossless and lossy techniques are compared against a new lossless technique. The new Ve...
Mark W. Jones
ADCM
2008
187views more  ADCM 2008»
13 years 9 months ago
Approximation on the sphere using radial basis functions plus polynomials
In this paper we analyse a hybrid approximation of functions on the sphere S2 R3 by radial basis functions combined with polynomials, with the radial basis functions assumed to be...
Ian H. Sloan, Alvise Sommariva
AMCS
2008
124views Mathematics» more  AMCS 2008»
13 years 9 months ago
Approximate Controllability of Infinite Dimensional Systems of the n-th Order
The objective of the article is to obtain general conditions for several types of controllability at once for an abstract differential equation of arbitrary order, instead of condi...
Jerzy Stefan Respondek
CONSTRAINTS
2008
138views more  CONSTRAINTS 2008»
13 years 8 months ago
Minimization of Locally Defined Submodular Functions by Optimal Soft Arc Consistency
Submodular function minimization is a polynomially-solvable combinatorial problem. Unfortunately the best known general-purpose algorithms have high-order polynomial time complexi...
Martin C. Cooper