45 search results - page 7 / 9 » Random Subspacing for Regression Ensembles |
TAL
2010
Springer
13 years 6 months ago
2010
Springer
Mihalcea [1] discusses self-training and co-training in the context of word sense disambiguation and shows that parameter optimization on individual words was important to obtain g...
IJCNN
2007
IEEE
14 years 2 months ago
2007
IEEE
Abstract - We discuss an ensemble-of-classifiers based algorithm for the missing feature problem. The proposed approach is inspired in part by the random subspace method, and in pa...
AI
2002
Springer
13 years 7 months ago
2002
Springer
Neural network ensemble is a learning paradigm where many neural networks are jointly used to solve a problem. In this paper, the relationship between the ensemble and its compone...
DAGM
2011
Springer
12 years 7 months ago
2011
Springer
We present a system for estimating location and orientation of a person’s head, from depth data acquired by a low quality device. Our approach is based on discriminative random r...
CICLING
2010
Springer
13 years 11 months ago
2010
Springer
We present a new ensemble method that uses Entropy Guided Transformation Learning (ETL) as the base learner. The proposed approach, ETL Committee, combines the main ideas of Baggin...