Multinomial logistic regression

Known as: Multinomial regression, Multinomial, Softmax regression 
In statistics, multinomial logistic regression is a classification method that generalizes logistic regression to multiclass problems, i.e. with more… (More)
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2017
2017
The use of thermal imaging in breast cancer diagnosis is a state of art in many oncology diagnosis centers. This research is… (More)
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2013
2013
This article proposes a method for multiclass classification problems using ensembles of multinomial logistic regression models… (More)
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2012
2012
In this paper, we consider the problem of multinomial classification of magnetoencephalography (MEG) data. The proposed method… (More)
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Highly Cited
2012
Highly Cited
2012
This paper introduces a new supervised segmentation algorithm for remotely sensed hyperspectral image data which integrates the… (More)
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Highly Cited
2010
Highly Cited
2010
This paper presents a new semisupervised segmentation algorithm, suited to high-dimensional data, of which remotely sensed… (More)
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Highly Cited
2006
Highly Cited
2006
Multinomial logistic regression provides the standard penalised maximumlikelihood solution to multi-class pattern recognition… (More)
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Highly Cited
2005
Highly Cited
2005
Recently developed methods for learning sparse classifiers are among the state-of-the-art in supervised learning. These methods… (More)
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2005
2005
Motivated by high-dimensional applications in authorship atttribution, we describe a Bayesian multinomial logistic regression… (More)
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2001
2001
This paper describes two Stata programs, mclgen and mclest, for imposing special restrictions on multinomial logistic models. MCL… (More)
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Highly Cited
1998
Highly Cited
1998
Boosting is one of the most important recent developments in classification methodology. Boosting works by sequentially applying… (More)
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