DocumentCode
396690
Title
A multivalent logic approach to risk estimation of learning machines
Author
Novak, Bojan
Author_Institution
Fac. of Electr. Eng., Maribor Univ., Slovenia
Volume
3
fYear
2003
fDate
20-24 July 2003
Firstpage
2312
Abstract
A multivalent logic approach to estimating the risk of error on test samples of learning machine is developed and compared to the bivalent approach based on VC dimension, cover and entropy numbers of sets. The multivalent approach leads to more simple expressions for predicting bounds on the risk estimation which are computable in a short time and use a reasonable amount of computer memory. The results of testing reveal that the multivalent logic algorithm outperforms support vector machines.
Keywords
learning (artificial intelligence); multivalued logic; risk analysis; support vector machines; VC dimension; Vapnik Chervonenkis dimension; computer memory; learning machines; multivalent logic algorithm; risk estimation; support vector machines; Artificial neural networks; Computer science; Entropy; Informatics; Laboratories; Logic testing; Machine learning; Pattern recognition; Support vector machines; Virtual colonoscopy;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 2003. Proceedings of the International Joint Conference on
ISSN
1098-7576
Print_ISBN
0-7803-7898-9
Type
conf
DOI
10.1109/IJCNN.2003.1223772
Filename
1223772
Link To Document