243 search results - page 6 / 49 » Interpretation of Trained Neural Networks by Rule Extraction |
117
Voted
NLPRS
2001
Springer
15 years 1 months ago
2001
Springer
Named Entity recognition, as a task of providing important semantic information, is a critical first step in Information Extraction and QuestionAnswering system. This paper propos...
MICAI
2010
Springer
2010
Springer
Combining Neural Networks Based on Dempster-Shafer Theory for Classifying Data with Imperfect Labels
14 years 8 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...
BIOADIT
2006
Springer
15 years 1 months ago
2006
Springer
We propose a neural network based autoassociative memory system for unsupervised learning. This system is intended to be an example of how a general information processing architec...
IJON
2006
14 years 9 months ago
2006
Generalization ability of neural networks is very important and a rule of thumb for good generalization in neural systems is that the smallest system should be used to fit the tra...
72
Voted
IJCAI
2007
14 years 11 months ago
2007
In this paper, we present a new decompositional approach for the extraction of propositional rules from feed-forward neural networks of binary threshold units. After decomposing t...