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by J FRiEdMaN - 1998 - Cited by 2008

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+ fp(Xp). See Section 9.1.2 in Hastie's book (Statistical Learning) for how to fit additive logistic regression models to an email-spam dataset. ...

http://www-edlab.cs.umass.edu/cs689/2009-lectures/glm.pdf

Additive logistic regression: A statistical view of boosting. The. Annals of Statistics, 38:2, 337–374. Höffgen, K.-U., & Simon, H.-U. (1992). ...

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g (E[Y|X]) = log [Y|X]; log-linear or log-additive models for Poisson count data. • example ( Additive logistic regression) ...

http://www2.isye.gatech.edu/~shan/ISyE7406/Splines.pdf

by JK Bradley - Cited by 22

http://books.nips.cc/papers/files/nips20/NIPS2007_0060.pdf

[18] J. Friedman, T. Hastie, R. Tibshirani, Additive logistic regression: a statistical view of boosting, Department of Statistics, Standford ...

http://sci2s.ugr.es/keel/pdf/keel/articulo/2007-PR-Hervas-Logistic regression.pdf

An additive logistic regression model was fit – no interactions between risk factors. Unadjusted OR = marginal odds ratios ...

https://netfiles.uiuc.edu/dgs/www/stat426/notes/risk_factors.pdf

by P SimpsonAdditive. Logistic Regression: a Statistical View of Boosting. <http://www-stat.stanford.edu//~jhf/#reports/boost.ps>. (December 16, 2000) ...

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by M Culp - 200926 Sep 2006 ... 'ada' is used to fit a variety stochastic boosting models for a binary response as described in Additive. Logistic Regression: A Statistical ...

http://cran.r-project.org/web/packages/ada/ada.pdf

o Additive logistic regression (GAM); o Classification trees; and ... application of additive logistic regression o The statistical background ...

http://www.cnr.usu.edu/files/uploads/WILD Course Syllabi/WILD 6900edwardsoutline-2010.pdf

Genotypes*Group. Logistic regression in additive, dominant, recessive and full models group. Genotype. (N of subjects). Additive. (OR/P value). Dominant ...

http://diabetes.diabetesjournals.org/content/suppl/2005/04/26/54.5.1598.DC1/OnlineAppendixPg1598Table3.pdf

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by M Collins - 2001 - Cited by 315

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http://www.stat.lsa.umich.edu/~jizhu/pubs/Rosset-NIPS04.pdf

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Additive Logistic Regression: a Statistical View of Boosting by Jerome Friedman,. Trevor Hastie, Robert Tibshirani. AdaBoost variants: RealBoost ...

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by M ENNIS - Cited by 48

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s Logistic regression is an additive model for the log odds. This gives one interpretation for β: If X is increased by one, then the log odds are increased ...

http://stat.ethz.ch/teaching/lectures/FS_2008/regression/10-LogisticRegression.pdf

m=1 βmxjm + f(tj). Generalised Additive Models (GAM). Examples: ► Semiparametric Additive Logistic Regression model: Yj. ⊥. ∼ Bernoulli(πj), ...

http://smat.epfl.ch/courses/regression/week12_ht.pdf

eralized additive logistic regression model, birth ... additive logistic regression analyses, Arizona, 1983-1996. Model A (n = 308). Sex (male/female) ...

http://aje.oxfordjournals.org/cgi/reprint/148/7/650.pdf

and logistic regression models (see McCullagh and Nelder, 1989). Recently, these have been extended to additive logistic models which allow smooth, ...

http://robjhyndman.com/papers/logitar.pdf

Additive models and classification. • Similarly to linear regression models, we can extend the logistic regression models to additive (logistic) models ...

http://www.ai.mit.edu/courses/6.867-f04/lectures/lecture-5-ho.pdf

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by HJL Jørgensen - 1998 - Cited by 13

http://www.apsnet.org/phyto/PDFS/1998/0514-01R.PDF

LogitBoost fits additive logistic regression models by stage-wise optimization of the. Bernoulli log-likelihood (Friedman, 2000). The details are as below: ...

http://www.nus.edu.sg/nurop/2009/FoS/14th NUROP Congress_FoS/Statistics/Tang Yang_U052185A.pdf

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Fitting Additive Models . . . . . . . . . . . . . . 297. 9.1.2. Example: Additive Logistic Regression . . . . . 299. 9.1.3. Summary . ...

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Bagging. Bias-Variance Decomposition. Combinations of Kernel Machines (i.e. SVM). Boosting and Adaboost. Bounds for Boosting. Additive Logistic Regression ...

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Interpreted as an additive logistic regression model. Suppose. • Which implies . • In the case of FilterBoost, . • Expected Negative log-likelihood of an ...

http://cs.nyu.edu/~rostami/ml/2007/ashish-filterboost.pdf

by J Elith - 2008 - Cited by 54

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for fitting an additive logistic regression model. This statement can be proved from the following two as- pects. AdaBoost procedure finds an F(Y) that mini ...

http://ieeexplore.ieee.org/iel5/9258/29388/01333916.pdf?arnumber=1333916

by S Jaroszewicz - 2006 - Cited by 5

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