147 search results - page 16 / 30 » Agnostic Learning with Ensembles of Classifiers |
AAAI
1998
13 years 9 months ago
1998
The "minimum margin" of an ensemble classifier on a given training set is, roughly speaking, the smallest vote it gives to any correct training label. Recent work has sh...
ICPR
2008
IEEE
14 years 9 months ago
2008
IEEE
Multiple observation improves the performance of 3D object classification. However, since the distribution of feature vectors obtained from multiple view points have strong nonlin...
CSB
2004
IEEE
14 years 5 days ago
2004
IEEE
We propose a novel technique for automatically generating the SCOP classification of a protein structure with high accuracy. High accuracy is achieved by combining the decisions o...
IDEAL
2004
Springer
14 years 1 months ago
2004
Springer
Abstract. Multiple classifier systems based on neural networks can give improved generalisation performance as compared with single classifier systems. We examine collaboration in ...
GECCO
2011
Springer
12 years 12 months ago
2011
Springer
—A number of representation schemes have been presented for use within Learning Classifier Systems, ranging from binary encodings to Neural Networks, and more recently Dynamical ...