49 search results - page 1 / 10 » A Methodology for Building Regression Models using Extreme L... |
ESANN
2008
13 years 6 months ago
2008
This paper proposes a methodology named OP-ELM, based on a recent development
ML
2006
ACM
13 years 4 months ago
2006
ACM
Abstract This paper proposes a new tree-based ensemble method for supervised classification and regression problems. It essentially consists of randomizing strongly both attribute ...
IJCNN
2008
IEEE
13 years 11 months ago
2008
IEEE
Abstract— This paper proposes a combination of methodologies based on a recent development –called Extreme Learning Machine (ELM)– decreasing drastically the training time of...
ECML
2003
Springer
13 years 10 months ago
2003
Springer
Abstract. Tree induction methods and linear models are popular techniques for supervised learning tasks, both for the prediction of nominal classes and continuous numeric values. F...
ICML
2008
IEEE
14 years 5 months ago
2008
IEEE
Semi-supervised learning aims at taking advantage of unlabeled data to improve the efficiency of supervised learning procedures. For discriminative models however, this is a chall...