2898 search results - page 2 / 580 » Ensemble Methods in Machine Learning |
ICML
2006
IEEE
14 years 6 months ago
2006
IEEE
We present a novel ensemble pruning method based on reordering the classifiers obtained from bagging and then selecting a subset for aggregation. Ordering the classifiers generate...
ICANN
2009
Springer
13 years 12 months ago
2009
Springer
Abstract. In this paper, we investigate the application of adaptive ensemble models of Extreme Learning Machines (ELMs) to the problem of one-step ahead prediction in (non)stationa...
ICMLA
2008
13 years 6 months ago
2008
We introduce three ensemble machine learning methods for analysis of biological DNA binding by transcription factors (TFs). The goal is to identify both TF target genes and their ...
ML
2010
ACM
13 years 1 days ago
2010
ACM
This paper proposes a new measure for ensemble pruning via directed hill climbing, dubbed Uncertainty Weighted Accuracy (UWA), which takes into account the uncertainty of the decis...
IEEECIT
2007
IEEE
13 years 11 months ago
2007
IEEE
In machine learning, ensemble classifiers have been introduced for more accurate pattern classification than single classifiers. We propose a new ensemble learning method that emp...