737 search results - page 4 / 148 » Network Structuring and Training Using Rule-Based Knowledge |
KES
2006
Springer
13 years 7 months ago
2006
Springer
Rules are a type of human-understandable knowledge, and rule-based methods are very popular in building decision support systems. However, most current rule based classification sy...
ICIP
2003
IEEE
14 years 21 days ago
2003
IEEE
This paper presents novel methods for classifying images based on knowledge discovered from annotated images using WordNet. The novelty of this work is the automatic class discove...
APIN
2010
13 years 7 months ago
2010
Artificial neural networks can be trained to perform excellently in many application areas. While they can learn from raw data to solve sophisticated recognition and analysis prob...
AIIA
2001
Springer
13 years 12 months ago
2001
Springer
– This paper proposes a knowledge-based neurocomputing approach to extract and refine a set of linguistic rules from data. A neural network is designed along with its learning al...
AAAI
1994
13 years 8 months ago
1994
A new inductive learning system, Lab Learning for ABduction, is presented which acquires abductive rules from a set of training examples. The goal is to nd a small knowledge base ...