293 search results - page 1 / 59 » Methods for learning classifier combinations: no clear winne... |
SAC
2005
ACM
13 years 10 months ago
2005
ACM
ICML
2002
IEEE
14 years 5 months ago
2002
IEEE
We empirically evaluate several state-of-theart methods for constructing ensembles of heterogeneous classifiers with stacking and show that they perform (at best) comparably to se...
MLDM
1999
Springer
13 years 9 months ago
1999
Springer
In the field of pattern recognition, multiple classifier systems based on the combination of the outputs of a set of different classifiers have been proposed as a method for the de...
GECCO
2009
Springer
13 years 11 months ago
2009
Springer
The optimization method is one of key issues in discriminative learning of pattern classifiers. This paper proposes a hybrid approach of the Covariance Matrix Adaptation Evolution...
PRIS
2004
13 years 6 months ago
2004
We address the problem of the combination of multiple data partitions, that we call a clustering ensemble. We use a recent clustering approach, known as Spectral Clustering, and th...