In statistics, logistic regression, or logit regression, or logit model is a regression model where the dependent variable (DV) is categorical. This… (More)

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Highly Cited

2013

Highly Cited

2013

- Nan Ding
- 2013

The exponential family of distributions play an important role in statistics and machine learning. They underlie numerous models… (More)

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Highly Cited

2008

Highly Cited

2008

- Kamalika Chaudhuri, Claire Monteleoni
- NIPS
- 2008

This paper addresses the important tradeoff between privacy and learnability, when designing algorithms for learning from private… (More)

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Highly Cited

2008

Highly Cited

2008

- Zoran Bursac, C. Heath Gauss, David Keith Williams, David W. Hosmer
- Source Code for Biology and Medicine
- 2008

The main problem in many model-building situations is to choose from a large set of covariates those that should be included in… (More)

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Highly Cited

2007

Highly Cited

2007

The group lasso is an extension of the lasso to do variable selection on (predefined) groups of variables in linear regression… (More)

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Highly Cited

2007

Highly Cited

2007

- Alexander Genkin, David D. Lewis, David Madigan
- Technometrics
- 2007

This paper describes an application of Bayesian logistic regression to text categorization. In particular we examine so-called… (More)

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Highly Cited

2006

Highly Cited

2006

- Su-In Lee, Honglak Lee, Pieter Abbeel, Andrew Y. Ng
- AAAI
- 2006

L1 regularized logistic regression is now a workhorse of machine learning: it is widely used for many classification problems… (More)

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Highly Cited

2003

Highly Cited

2003

- Niels Landwehr, Mark A. Hall, Eibe Frank
- Machine Learning
- 2003

Tree induction methods and linear models are popular techniques for supervised learning tasks, both for the prediction of nominal… (More)

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Highly Cited

2000

Highly Cited

2000

- Michael Collins, Robert E. Schapire, Yoram Singer
- Machine Learning
- 2000

We give a unified account of boosting and logistic regression in which each learning problem is cast in terms of optimization of… (More)

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Highly Cited

2000

Highly Cited

2000

The use of statistical models to predict the likely occurrence or distribution of species is becoming an increasingly important… (More)

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Highly Cited

1999

Highly Cited

1999

- Gary King
- 1999

We study rare events data, binary dependent variables with dozens to thousands of times fewer ones (events, such as wars, vetoes… (More)

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