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Multinomial logistic regression
Known as:
Multinomial regression
, Multinomial
, Softmax regression
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In statistics, multinomial logistic regression is a classification method that generalizes logistic regression to multiclass problems, i.e. with more…
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Related topics
Related topics
26 relations
Categorical variable
Choice modelling
Coordinate descent
Discrete choice
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Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2016
Highly Cited
2016
Climate-mediated activity of the Javan Slow Loris, Nycticebus javanicus
K. Reinhardt
,
Wirdateti
,
K. Nekaris
2016
Corpus ID: 1192257
Joint impacts of anthropogenic disturbance and climate change are of pressing concern for modern conservationists. Climate change…
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2013
2013
Multinomial Logistic Regression on Markov Chains for Crop Rotation Modelling
Lewis Paton
,
M. Troffaes
,
N. Boatman
,
Mohamud Hussein
,
A. Hart
International Conference on Information…
2013
Corpus ID: 18775028
Often, in dynamical systems, such as farmer’s crop choices, the dynamics is driven by external nonstationary factors, such as…
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Highly Cited
2010
Highly Cited
2010
Discriminative Topics Modelling for Action Feature Selection and Recognition
Matteo Bregonzio
,
Jian Li
,
S. Gong
,
T. Xiang
British Machine Vision Conference
2010
Corpus ID: 17261877
Problem This paper addresses the problem of recognising realistic human actions captured in unconstrained environments (Fig. 1…
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2009
2009
Analysis of truck-involved rear-end crashes using multinomial logistic regression
Xuedong Yan
,
E. Radwan
,
Kk Mannila
2009
Corpus ID: 106696841
Among truck-involved crash types, rear-end collisions result in the third largest number of fatalities and have the second…
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Review
2005
Review
2005
Multinomial and ordinal logistic regression using
2005
Corpus ID: 9306212
Logistic regression may be useful when we are trying to model a categorical dependent variable (DV) as a function of one or more…
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2003
2003
Multinomial Logistic Regression Applied on Software Productivity Prediction
Panagiotis Sentas
,
L. Angelis
,
I. Stamelos
2003
Corpus ID: 9318729
In software cost estimation various methods have been proposed to yield a prediction of the productivity of a software project…
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2002
2002
A Probabilistic One-Step Approach to the Optimal Product Line Design Problem Using Conjoint and Cost Data
Winfried Steiner
,
H. Hruschka
2002
Corpus ID: 54720362
Designing and pricing new products is one of the most critical activities for a firm, and it is well-known that taking into…
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Highly Cited
2000
Highly Cited
2000
Automatic Extraction of Subcategorization Frames for Czech
Anoop Sarkar
,
Daniel Zeman
International Conference on Computational…
2000
Corpus ID: 53808
We present some novel machine learning techniques for the identification of subcategorization information for verbs in Czech. We…
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Highly Cited
2000
Highly Cited
2000
Policy-Specific Alienation and Indifference in the Calculus of Voting: A Simultaneous Model of Party Choice and Abstention
Paul W. Thurner
,
Angelika Eymann
2000
Corpus ID: 73533753
This article aims to combine the spatial models of candidate/party choice and abstention/participation choice in a single…
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Highly Cited
2000
Highly Cited
2000
Elementary Statistics Using Excel
Mario F. Triola
2000
Corpus ID: 60458957
Normal 0 false false falseKEY BENEFIT: Elementary Statistics Using Excel, Fourth Edition, offers a complete introduction to basic…
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