640 search results - page 7 / 128 » Extracting Propositions from Trained Neural Networks |
IJCNN
2006
IEEE
14 years 1 months ago
2006
IEEE
Abstract— Neural processing of large-scale data sets containing both many input / output variables and a large number of training examples often leads to very large networks. Onc...
ICPR
2006
IEEE
14 years 8 months ago
2006
IEEE
Signature identification and verification has been a topic of interest and importance for many years in the area of biometrics. In this paper we present an effective method to per...
ICPR
2000
IEEE
14 years 8 months ago
2000
IEEE
We describe a system which is designed to assist in extracting high-level information from sets or sequences of images. We show that the method of principal components analysis fo...
MICAI
2010
Springer
2010
Springer
Combining Neural Networks Based on Dempster-Shafer Theory for Classifying Data with Imperfect Labels
13 years 5 months ago
This paper addresses the supervised learning in which the class membership of training data are subject to uncertainty. This problem is tackled in the framework of the Dempster-Sha...
ICANN
2010
Springer
13 years 8 months ago
2010
Springer
Abstract. In this paper we present a Reinforcement Learning (RL) approach with the capability to train neural adaptive controllers for complex control problems without expensive on...