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R Setiono

Showing results (1-10 of 12) with videos related to

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Artificial Intelligence in Medicine|February 1, 1996
Extracting rules from pruned networks for breast cancer diagnosisR Setiono
Neural Computation|November 14, 2001
Feedforward neural network construction using cross validationR Setiono
Artificial Intelligence in Medicine|February 17, 2000
Generating concise and accurate classification rules for breast cancer diagnosisR Setiono
Neural Computation|January 1, 1997
A penalty-function approach for pruning feedforward neural networksR Setiono
Neural Computation|January 1, 1997
Extracting rules from neural networks by pruning and hidden-unit splittingR Setiono
IEEE Transactions on Neural Networks|February 6, 2008
Extracting M-of-N rules from trained neural networksR Setiono
IEEE Transactions on Neural Networks|January 1, 1997
Neural-network feature selectorR Setiono, H Liu
IEEE Transactions on Systems, Man, and Cybernetics. Part B, Cybernetics : a Publication of the IEEE Systems, Man, and Cybernetics Society|February 7, 2008
A connectionist approach to generating oblique decision treesR Setiono, H Liu
IEEE Transactions on Neural Networks|January 1, 1995
Use of a quasi-Newton method in a feedforward neural network construction algorithmR Setiono, L K Hui
IEEE Transactions on Neural Networks|February 14, 2008
Recursive neural network rule extraction for data with mixed attributesR Setiono, B Baesens, C Mues
Pageof 2

Showing results (1-10 of 12) with videos related to

Sort By:
Pageof 2
Artificial Intelligence in Medicine|February 1, 1996
Extracting rules from pruned networks for breast cancer diagnosisR Setiono
Neural Computation|November 14, 2001
Feedforward neural network construction using cross validationR Setiono
Artificial Intelligence in Medicine|February 17, 2000
Generating concise and accurate classification rules for breast cancer diagnosisR Setiono
Neural Computation|January 1, 1997
A penalty-function approach for pruning feedforward neural networksR Setiono
Neural Computation|January 1, 1997
Extracting rules from neural networks by pruning and hidden-unit splittingR Setiono
IEEE Transactions on Neural Networks|February 6, 2008
Extracting M-of-N rules from trained neural networksR Setiono
IEEE Transactions on Neural Networks|January 1, 1997
Neural-network feature selectorR Setiono, H Liu
IEEE Transactions on Systems, Man, and Cybernetics. Part B, Cybernetics : a Publication of the IEEE Systems, Man, and Cybernetics Society|February 7, 2008
A connectionist approach to generating oblique decision treesR Setiono, H Liu
IEEE Transactions on Neural Networks|January 1, 1995
Use of a quasi-Newton method in a feedforward neural network construction algorithmR Setiono, L K Hui
IEEE Transactions on Neural Networks|February 14, 2008
Recursive neural network rule extraction for data with mixed attributesR Setiono, B Baesens, C Mues
Pageof 2