62 search results - page 3 / 13 » Convergence analysis of convex incremental neural networks |
ADCM
2000
13 years 6 months ago
2000
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...
DAS
2008
Springer
13 years 8 months ago
2008
Springer
This paper presents an end-to-end administrative document analysis system. This system uses case-based reasoning in order to process documents from known and unknown classes. For ...
ICDAR
1999
IEEE
13 years 10 months ago
1999
IEEE
This paper describes a new hybrid architecture for an artificial neural network classifier that enables incremental learning. The learning algorithm of the proposed architecture d...
UAI
1997
13 years 7 months ago
1997
Robust Bayesian inference is the calculation of posterior probability bounds given perturbations in a probabilistic model. This paper focuses on perturbations that can be expresse...
CORR
2010
Springer
13 years 6 months ago
2010
Springer
The stability and convergence of the neural networks are the fundamental characteristics in the Hopfield type networks. Since time delay is ubiquitous in most physical and biologi...