705 search results - page 97 / 141 » Neural voting machines |
MLDM
2001
Springer
14 years 1 months ago
2001
Springer
Abstract. This paper proposes a general local learning framework to effectively alleviate the complexities of classifier design by means of “divide and conquer” principle and ...
COLT
1994
Springer
14 years 23 days ago
1994
Springer
We examine the relationship between the VCdimension and the number of parameters of a smoothly parametrized function class. We show that the VC-dimension of such a function class ...
FLAIRS
2003
13 years 10 months ago
2003
In this paper, we present an experimental methodology and results for a machine learning approach to learning opening strategy in the game of Go, a game for which the best compute...
CORR
2008
Springer
13 years 8 months ago
2008
Springer
: Boosting is a general method for improving the accuracy of any given learning algorithm. In this paper we employ combination of Adaboost with Support Vector Machine (SVM) as comp...
IJISTA
2007
13 years 8 months ago
2007
: This paper introduces a system for real-time incremental learning in a call-centre environment. The classifier used is a Support Vector Machine (SVM) and it is applied to telepho...