Skip to search form
Skip to main content
Skip to account menu
Semantic Scholar
Semantic Scholar's Logo
Search 227,741,286 papers from all fields of science
Search
Sign In
Create Free Account
Multinomial logistic regression
Known as:
Multinomial regression
, Multinomial
, Softmax regression
Expand
In statistics, multinomial logistic regression is a classification method that generalizes logistic regression to multiclass problems, i.e. with more…
Expand
Wikipedia
(opens in a new tab)
Create Alert
Alert
Related topics
Related topics
26 relations
Categorical variable
Choice modelling
Coordinate descent
Discrete choice
Expand
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…
Expand
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…
Expand
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…
Expand
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…
Expand
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…
Expand
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…
Expand
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…
Expand
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…
Expand
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…
Expand
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…
Expand
By clicking accept or continuing to use the site, you agree to the terms outlined in our
Privacy Policy
(opens in a new tab)
,
Terms of Service
(opens in a new tab)
, and
Dataset License
(opens in a new tab)
ACCEPT & CONTINUE