221 search results - page 23 / 45 » Random Convolution Ensembles |
95
Voted
GEOINFO
2007
15 years 2 months ago
2007
Abstract. We present a method to perform model selection based on predictive density in a class of spatio-temporal dynamic generalized linear models for areal data. These models as...
90
Voted
ICASSP
2008
IEEE
15 years 7 months ago
2008
IEEE
Bagging is an ensemble method that uses random resampling of a dataset to construct models. In classification scenarios, the random resampling procedure in bagging induces some c...
119
Voted
CICLING
2010
Springer
15 years 4 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...
124
Voted
TCBB
2011
14 years 7 months ago
2011
—In biomedical data, the imbalanced data problem occurs frequently and causes poor prediction performance for minority classes. It is because the trained classifiers are mostly d...
103
click to vote
MCS
2009
Springer
15 years 7 months ago
2009
Springer
Machine Learning can be divided into two schools of thought: generative model learning and discriminative model learning. While the MCS community has been focused mainly on the lat...