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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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Highly Cited
2012
Highly Cited
2012
This paper introduces a new supervised segmentation algorithm for remotely sensed hyperspectral image data which integrates the… 
Highly Cited
2010
Highly Cited
2010
This paper presents a new semisupervised segmentation algorithm, suited to high-dimensional data, of which remotely sensed… 
Review
2010
Review
2010
Text data, including speeches, stories, and other document forms, are often connected to sentiment variables that are of interest… 
Highly Cited
2009
Highly Cited
2009
ABSTRACT The purpose of this article is to explain how to conduct a multinomial logistic regression (MLR) to increase its usage… 
Highly Cited
2006
Highly Cited
2006
Multinomial logistic regression provides the standard penalised maximum-likelihood solution to multi-class pattern recognition… 
Review
2001
Review
2001
Preface PART I GENERAL INFORMATION Introduction What is this book about? Which models are considered? Whom is this book for? How… 
Highly Cited
1998
Highly Cited
1998
Recent work in text classification has used two different first-order probabilistic models for classification, both of which make… 
Highly Cited
1988
Highly Cited
1988
Characteristics of national cultures have frequently been claimed to influence the selection of entry modes. This article… 
Review
1985
Review
1985
This book, which is intended as a graduate level text and a general professional reference, presents the methods of discrete… 
Review
1970
Review
1970
Foreword.Preface.PART ONE. SURVEY OF PROBABILITY THEORY.Chapter 1. Introduction.Chapter 2. Experiments, Sample Spaces, and…