194 search results - page 3 / 39 » Decision Tree Extraction from Trained Neural Networks |
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Voted
APIN
2010
14 years 9 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...
DATAMINE
1998
14 years 9 months ago
1998
Decision trees have proved to be valuable tools for the description, classi cation and generalizationof data. Work on constructingdecisiontrees from data exists in multiplediscipli...
ECCE
2007
15 years 1 months ago
2007
: Decision Support Systems are proliferating rapidly in many areas of human endeavour including clinical medicine and psychology. While these are typically based on rulebased syste...
TJS
2010
14 years 7 months ago
2010
This paper presents a novel host-based combinatorial method based on k-Means clustering and ID3 decision tree learning algorithms for unsupervised classification of anomalous and ...
IJPRAI
2002
14 years 9 months ago
2002
Decision-tree algorithms are known to be unstable: small variations in the training set can result in different trees and different predictions for the same validation examples. B...