1707 search results - page 11 / 342 » A Boosting Algorithm for Regression |
79
Voted
FLAIRS
2004
15 years 18 days ago
2004
In this work we present a novel approach to ensemble learning for regression models, by combining the ensemble generation technique of random subspace method with the ensemble int...
108
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CVPR
2011
IEEE
14 years 2 months ago
2011
IEEE
A new family of boosting algorithms, denoted TaylorBoost, is proposed. It supports any combination of loss function and first or second order optimization, and includes classical...
106
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ACL
2006
15 years 18 days ago
2006
Lasso is a regularization method for parameter estimation in linear models. It optimizes the model parameters with respect to a loss function subject to model complexities. This p...
JCP
2006
14 years 11 months ago
2006
Numerous data mining problems involve an investigation of associations between features in heterogeneous datasets, where different prediction models can be more suitable for differ...
AAAI
2011
13 years 11 months ago
2011
Important ecological phenomena are often observed indirectly. Consequently, probabilistic latent variable models provide an important tool, because they can include explicit model...