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Log-linear model
Known as:
Log-linear
, Log-linear modeling
, Loglinear model
A log-linear model is a mathematical model that takes the form of a function whose logarithm is a linear combination of the parameters of the model…
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Related topics
Related topics
8 relations
General linear model
Generalized iterative scaling
Generalized linear model
Iterative proportional fitting
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Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2010
Highly Cited
2010
Log-Linear Models
Jason Eisner
Encyclopedia of Machine Learning
2010
Corpus ID: 104774
Geographically, prevalence of HIV/AIDS in Nigerian States can be classified into high, medium and low with Adamawa State falling…
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Highly Cited
2009
Highly Cited
2009
Stochastic Gradient Descent Training for L1-regularized Log-linear Models with Cumulative Penalty
Yoshimasa Tsuruoka
,
Junichi Tsujii
,
S. Ananiadou
Annual Meeting of the Association for…
2009
Corpus ID: 18431463
Stochastic gradient descent (SGD) uses approximate gradients estimated from subsets of the training data and updates the…
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Highly Cited
2008
Highly Cited
2008
Distribution-free multivariate process control based on log-linear modeling
P. Qiu
2008
Corpus ID: 18101040
This paper considers Statistical Process Control (SPC) when the process measurement is multivariate. In the literature, most…
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Highly Cited
2007
Highly Cited
2007
Scalable training of L1-regularized log-linear models
Galen Andrew
,
Jianfeng Gao
International Conference on Machine Learning
2007
Corpus ID: 5853259
The L-BFGS limited-memory quasi-Newton method is the algorithm of choice for optimizing the parameters of large-scale log-linear…
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Highly Cited
2005
Highly Cited
2005
Contrastive Estimation: Training Log-Linear Models on Unlabeled Data
Noah A. Smith
,
Jason Eisner
Annual Meeting of the Association for…
2005
Corpus ID: 259144
Conditional random fields (Lafferty et al., 2001) are quite effective at sequence labeling tasks like shallow parsing (Sha and…
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Highly Cited
2003
Highly Cited
2003
Categorical Data Analysis
Jeremy Freese
,
Jason Beckfield
2003
Corpus ID: 12564685
This workshop introduces students to current methods for analyzing categorical data, with its principal focus being regression…
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Highly Cited
1997
Highly Cited
1997
Log-Linear Models and Logistic Regression
R. Christensen
1997
Corpus ID: 62214612
The primary focus here is on log-linear models for contingency tables, but in this second edition, greater emphasis has been…
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Highly Cited
1992
Highly Cited
1992
Geomorphic/Tectonic Control of Sediment Discharge to the Ocean: The Importance of Small Mountainous Rivers
J. Milliman
,
J. Syvitski
The Journal of geology
1992
Corpus ID: 22727856
Analysis of data from 280 rivers discharging to the ocean indicates that sediment loads/yields are a log-linear function of basin…
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Highly Cited
1980
Highly Cited
1980
Log-linear models
D. Knoke
,
P. Burke
1980
Corpus ID: 60005294
Discusses the innovative log-linear model of statistical analysis. This model makes no distinction between independent and…
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Highly Cited
1976
Highly Cited
1976
Discrete Multivariate Analysis: Theory and Practice
R. Plackett
,
Y. Bishop
,
S. Fienberg
,
Paul W. Holland
1976
Corpus ID: 62641831
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