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LogitBoost
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#	Item
11	Random Classification Noise Defeats All Convex Potential Boosters Philip M. Long Google, 1600 Amphitheatre Parkway, Mountain View, CA[removed]Rocco A. Servedio Computer Science Department, Columbia University, New York, NY Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2008-05-22 03:19:26 Learning Boosting AdaBoost BrownBoost LogitBoost Statistical classification Valuation Function Margin classifier Ensemble learning Mathematics Artificial intelligence
12	Introduction Boosting Random Forests Add to Reading List Source URL: datamining.anu.edu.au Language: English - Date: 2011-05-31 01:27:15 AdaBoost Random forest BrownBoost LogitBoost Overfitting Statistical classification Machine learning Ensemble learning Boosting
13	LOGITBOOST OF SIMPLE BAYESIAN... Add to Reading List Source URL: www.math.upatras.gr Language: English - Date: 2005-09-15 10:28:31 Ensemble learning Statistical classification Naive Bayes classifier Boosting AdaBoost LogitBoost Pattern recognition Averaged one-dependence estimators Bayesian inference Statistics Machine learning Bayesian statistics
14	Speeding up Logistic Model Tree Induction Marc Sumner1,2 , Eibe Frank2 , and Mark Hall2 Institute for Computer Science Add to Reading List Source URL: www.cs.waikato.ac.nz Language: English - Date: 2008-11-05 23:12:05 Decision trees Regression analysis Model selection Logistic model tree LogitBoost Boosting Cross-validation Logistic regression AdaBoost Statistics Machine learning Ensemble learning
15	PDF Document Add to Reading List Source URL: www.cs.waikato.ac.nz Language: English - Date: 2009-10-15 22:35:04 Econometrics Decision trees Ensemble learning Logistic model tree Decision tree learning Logistic regression Supervised learning LogitBoost Linear regression Statistics Machine learning Regression analysis
16	PDF Document Add to Reading List Source URL: www.cs.princeton.edu Language: English - Date: 2008-02-20 19:50:06 Artificial intelligence Statistical classification AdaBoost Boosting LogitBoost Computational learning theory Binary classification Generalization error Multiclass classification Machine learning Ensemble learning Statistics