705 search results - page 13 / 141 » Neural voting machines |
ICML
2008
IEEE
14 years 9 months ago
2008
IEEE
Previous algorithms for learning lexicographic preference models (LPMs) produce a "best guess" LPM that is consistent with the observations. Our approach is more democra...
ECML
2007
Springer
14 years 25 days ago
2007
Springer
Class binarizations are effective methods for improving weak learners by decomposing multi-class problems into several two-class problems. This paper analyzes how these methods can...
IFIP12
2004
13 years 10 months ago
2004
: Recently, multi-instance classification algorithm BP-MIP and multi-instance regression algorithm BP-MIR both based on neural networks have been proposed. In this paper, neural ne...
COLT
1993
Springer
14 years 1 months ago
1993
Springer
In this paper we demonstrate how weighted majority voting with multiplicative weight updating can be applied to obtain robust algorithms for learning binary relations. We first pre...
NN
1998
Springer
13 years 8 months ago
1998
Springer
For complex database prediction problems such as medical diagnosis, the ARTMAP-IC neural network adds distributed prediction and category instance counting to the basic fuzzy ARTM...