195 search results - page 5 / 39 » Adaptive Algorithms for Neural Network Supervised Learning: ... |
ICPR
2004
IEEE
14 years 8 months ago
2004
IEEE
In this paper, supervised nonparametric information theoretic classification (ITC) is introduced. Its principle relies on the likelihood of a data sample of transmitting its class...
GECCO
2007
Springer
14 years 1 months ago
2007
Springer
This paper introduces a new variety of learning classifier system (LCS), called MILCS, which utilizes mutual information as fitness feedback. Unlike most LCSs, MILCS is specifical...
ESANN
2006
13 years 8 months ago
2006
In this article, we extend a local prototype-based learning model by active learning, which gives the learner the capability to select training samples during the model adaptation...
IPPS
1998
IEEE
13 years 11 months ago
1998
IEEE
We derive cost formulae for three di erent parallelisation techniques for training supervised networks. These formulae are parameterised by properties of the target computer archit...
ICDAR
1999
IEEE
13 years 11 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...