1256 search results - page 8 / 252 » On Combining Classifiers |
FLAIRS
2000
13 years 11 months ago
2000
The design of an optimal Bayesian classifier for multiple features is dependent on the estimation of multidimensional joint probability density functions and therefore requires a ...
ACL
1998
13 years 11 months ago
1998
One of the most exciting recent directions in machine learning is the discovery that the combination of multiple classifiers often results in significantly better performance than...
CORR
1999
Springer
13 years 9 months ago
1999
Springer
: Integrating the outputs of multiple classifiers via combiners or meta-learners has led to substantial improvements in several difficult pattern recognition problems. In this arti...
MCS
2002
Springer
13 years 9 months ago
2002
Springer
Abstract. In image retrieval systems, images can be represented by single feature vectors or by clouds of points. A cloud of points offers a more flexible description but suffers f...
MCS
2002
Springer
13 years 9 months ago
2002
Springer
So far few theoretical works investigated the conditions under which specific fusion rules can work well, and a unifying framework for comparing rules of different complexity is cl...