1707 search results - page 148 / 342 » A Boosting Algorithm for Regression |
122
Voted
ICML
2009
IEEE
16 years 4 months ago
2009
IEEE
We describe a new method for learning the conditional probability distribution of a binary-valued variable from labelled training examples. Our proposed Compositional Noisy-Logica...
131
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NN
2007
Springer
15 years 3 months ago
2007
Springer
A number of machine learning (ML) techniques have recently been proposed to solve color constancy problem in computer vision. Neural networks (NNs) and support vector regression (...
143
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GECCO
2010
Springer
15 years 7 months ago
2010
Springer
Test suite augmentation techniques are used in regression testing to help engineers identify code elements affected by changes, and generate test cases to cover those elements. R...
138
Voted
JMLR
2008
15 years 3 months ago
2008
The statistical problem of estimating the effective dimension-reduction (EDR) subspace in the multi-index regression model with deterministic design and additive noise is consider...
125
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TNN
1998
15 years 3 months ago
1998
— In this work, a probabilistic model is established for recurrent networks. The EM (expectation-maximization) algorithm is then applied to derive a new fast training algorithm f...