194 search results - page 10 / 39 » Decision Tree Extraction from Trained Neural Networks |
ICIP
1999
IEEE
15 years 11 months ago
1999
IEEE
We address a new perceptual grouping algorithmfor aerial images, which employs a decision tree classifier and hierarchical multilevel grouping strategy an a bottom-up fashion. In ...
ESANN
2003
14 years 11 months ago
2003
In this paper we propose a new algorithm for rule extraction from a trained Multilayer Feedforward network. The algorithm is based on an interval arithmetic network inversion for p...
CAIP
2009
Springer
15 years 24 days ago
2009
Springer
Binary decision trees based on univariate splits have traditionally employed so-called impurity functions as a means of searching for the best node splits. Such functions use estim...
ICANN
2010
Springer
14 years 9 months ago
2010
Springer
We propose a data structure that decreases complexity of unsupervised competitive learning algorithms which are based on the growing cells structures approach. The idea is based on...
FLAIRS
2004
14 years 11 months ago
2004
This study borrowed sequence analysis techniques from the genetic sciences and applied them to a similar problem in email filtering and web searching. Genre identification is the ...