69 search results - page 3 / 14 » Cocktail Ensemble for Regression |
MLDM
2009
Springer
14 years 24 days ago
2009
Springer
Abstract. Regression models are often required for controlling production processes by predicting parameter values. However, the implicit assumption of standard regression techniqu...
ICDM
2006
IEEE
14 years 9 days 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...
ML
2002
ACM
13 years 5 months ago
2002
ACM
We examine methods for constructing regression ensembles based on a linear program (LP). The ensemble regression function consists of linear combinations of base hypotheses generat...
ICDM
2009
IEEE
14 years 28 days ago
2009
IEEE
—Methods for learning decision rules are being successfully applied to many problem domains, especially where understanding and interpretation of the learned model is necessary. ...
IFIP12
2004
13 years 7 months ago
2004
: Recently, multi-instance classification algorithm BP-MIP and multi-instance regression algorithm BP-MIR both based on neural networks have been proposed. In this paper, neural ne...