336 search results - page 3 / 68 » Extreme logistic regression |
109
Voted
NIPS
2004
15 years 2 months ago
2004
We present a competitive analysis of Bayesian learning algorithms in the online learning setting and show that many simple Bayesian algorithms (such as Gaussian linear regression ...
122
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CSDA
2006
15 years 26 days ago
2006
The logistic regression model is used to predict a binary response variable in terms of a set of explicative ones. The estimation of the model parameters is not too accurate and t...
88
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PRL
2006
15 years 22 days ago
2006
This paper describes a new method for a feature-based supervised classification of multi-channel SAR data. Classic feature selection and classification methods are inadequate due ...
ICPR
2008
IEEE
15 years 7 months ago
2008
IEEE
In this paper, we propose a novel algorithm of multi-nominal logistic regression in which the locality regularization term is introduced. The locality is defined by the neighborho...
99
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NAACL
2010
14 years 10 months ago
2010
We show how features can easily be added to standard generative models for unsupervised learning, without requiring complex new training methods. In particular, each component mul...