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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… 
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Papers overview

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2013
2013
This brief paper presents a symbolic dynamics-based method for detection of incipient faults in gas turbine engines. The… 
2012
2012
We consider deployment of the particle filter on modern massively parallel hardware architectures, such as Graphics Processing… 
2012
2012
We give a proof of a conjecture of A. Lacasse in his doctoral thesis which has applications in machine learning algorithms. The… 
2007
2007
The concept of recreation substitutability has been a continuing research topic for outdoor recreation researchers. This study… 
2005
2005
Multinomial logistic regression is the extension for the (binary) logistic regression when the categorical dependent outcome has… 
2005
2005
In this paper, we propose an approach to presenting web search results that supports personalization, taking into consideration… 
2004
2004
Abstract : We compare and contrast two different models for detecting sentence-like units in continuous speech. The first… 
1998
1998
Robust estimation of the probability vector is an important problem for the finite k cell multinomial model. When the probability… 
1979
1979
The paper describes an investigation of various segmentation bases for capturing the behavioral differences in urban recreation… 
1971
1971
Abstract : The paper considers the estimation of multinomial probability vectors when only the sum of several multinomial…