695 search results - page 24 / 139 » Different Learning Algorithms for Neural Networks - A Compar... |
SSPR
1998
Springer
13 years 11 months ago
1998
Springer
A novel method to improve the generalization performance of the Minimum Classification Error (MCE) / Generalized Probabilistic Descent (GPD) learning is proposed. The MCE/GPD learn...
ACG
2003
Springer
14 years 23 days ago
2003
Springer
In this article a neural network architecture is presented that is able to build a soft segmentation of a two-dimensional input. This network architecture is applied to position ev...
WOB
2004
13 years 9 months ago
2004
Several advanced techniques have been proposed for data clustering and many of them have been applied to gene expression data, with partial success. The high dimensionality and the...
ESANN
2006
13 years 9 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...
ESANN
2003
13 years 9 months ago
2003
This paper presents our approach to the rule extraction problem from trained neural network. A method called REX is briefly described. REX acquires a set of fuzzy rules using an ev...