45 search results - page 2 / 9 » Solving regression problems with rule-based ensemble classif... |
ICDM
2006
IEEE
14 years 1 months ago
2006
IEEE
An ensemble is a group of learners that work together as a committee to solve a problem. However, the existing ensemble training algorithms sometimes generate unnecessary large en...
ESANN
2007
13 years 9 months ago
2007
A method for tuning MLP learning parameters in an ensemble classifier framework is presented. No validation set or cross-validation technique is required to optimize parameters for...
LREC
2010
13 years 9 months ago
2010
In this paper, we propose classifier ensemble selection for Named Entity Recognition (NER) as a single objective optimization problem. Thereafter, we develop a method based on gen...
FSS
2008
13 years 7 months ago
2008
This paper introduces a new approach to classification which combines pairwise decomposition techniques with ideas and tools from fuzzy preference modeling. More specifically, our...
AUSAI
2009
Springer
13 years 11 months ago
2009
Springer
Ensembles are often capable of greater prediction accuracy than any of their individual members. As a consequence of the diversity between individual base-learners, an ensemble wil...