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WCE
2007
15 years 5 months ago
An Energy Backpropagation Algorithm
— This paper presents an energy back-propagation algorithm (EBP). Learning and convergence processes of the standard backpropagation algorithm (SBP) are based on the energy funct...
Ahmad Hashim Hussein Aal-Yhia, Ahmad Sharieh
CORR
2006
Springer
161views Education» more  CORR 2006»
15 years 4 months ago
Consensus Propagation
We propose consensus propagation, an asynchronous distributed protocol for averaging numbers across a network. We establish convergence, characterize the convergence rate for regul...
Ciamac Cyrus Moallemi, Benjamin Van Roy
JUCS
2006
88views more  JUCS 2006»
15 years 4 months ago
Parameter Estimation of the Cauchy Distribution in Information Theory Approach
: As we know the Cauchy distribution plays an important role in Probability Theory and Statistics. In this paper, we investigate the estimation of the location and the scale parame...
Ferenc Nagy
ADCM
2000
45views more  ADCM 2000»
15 years 3 months ago
Training neural networks with noisy data as an ill-posed problem
This paper is devoted to the analysis of network approximation in the framework of approximation and regularization theory. It is shown that training neural networks and similar n...
Martin Burger, Heinz W. Engl
MOC
2000
127views more  MOC 2000»
15 years 3 months ago
Can a finite element method perform arbitrarily badly?
In this paper we construct elliptic boundary value problems whose standard finite element approximations converge arbitrarily slowly in the energy norm, and show that adaptive proc...
Ivo Babuska, John E. Osborn