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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… Expand
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Highly Cited
2010
Highly Cited
2010
  • A. Menon, C. Elkan
  • IEEE International Conference on Data Mining
  • 2010
  • Corpus ID: 15848952
In dyadic prediction, labels must be predicted for pairs (dyads) whose members possess unique identifiers and, sometimes… Expand
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Highly Cited
2010
Highly Cited
2010
We describe a method of incorporating task-specific cost functions into standard conditional log-likelihood (CLL) training of… Expand
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Highly Cited
2007
Highly Cited
2007
The L-BFGS limited-memory quasi-Newton method is the algorithm of choice for optimizing the parameters of large-scale log-linear… Expand
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Highly Cited
2007
Highly Cited
2007
This article describes a number of log-linear parsing models for an automatically extracted lexicalized grammar. The models are… Expand
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Highly Cited
2006
Highly Cited
2006
When training the parameters for a natural language system, one would prefer to minimize 1-best loss (error) on an evaluation set… Expand
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Highly Cited
2005
Highly Cited
2005
Conditional random fields (Lafferty et al., 2001) are quite effective at sequence labeling tasks like shallow parsing (Sha and… Expand
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Highly Cited
1997
Highly Cited
1997
The primary focus here is on log-linear models for contingency tables, but in this second edition, greater emphasis has been… Expand
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Highly Cited
1997
Highly Cited
1997
Introduction Log-Linear Anaylsis Log-Linear Anaylsis with Latent Variables and Missing Data Event History Analysis Event History… Expand
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Highly Cited
1992
Highly Cited
1992
Analysis of data from 280 rivers discharging to the ocean indicates that sediment loads/yields are a log-linear function of basin… Expand
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Highly Cited
1980
Highly Cited
1980
Discusses the innovative log-linear model of statistical analysis. This model makes no distinction between independent and… Expand
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