889 search results - page 2 / 178 » Probabilistic Neural Network Models for Sequential Data |
IEAAIE
2004
Springer
13 years 10 months ago
2004
Springer
Abstract. The aim of our research was to apply well-known data mining techniques (such as linear neural networks, multi-layered perceptrons, probabilistic neural networks, classifi...
ICANN
2010
Springer
13 years 5 months ago
2010
Springer
We discuss the problem of overfitting of probabilistic neural networks in the framework of statistical pattern recognition. The probabilistic approach to neural networks provides a...
IBPRIA
2003
Springer
13 years 10 months ago
2003
Springer
Abstract. This paper presents a model for the probability of correct classification for the Cooperative Modular Neural Network (CMNN). The model enables the estimation of the perf...
ICTAI
2009
IEEE
13 years 12 months ago
2009
IEEE
This paper describes an attempt to devise a knowledge discovery model that is inspired from the two theoretical frameworks of selectionism and constructivism in human cognitive le...
NN
2006
Springer
13 years 5 months ago
2006
Springer
The Generative Topographic Mapping (GTM) was originally conceived as a probabilistic alternative to the well-known, neural networkinspired, Self-Organizing Maps. The GTM can also ...