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Gradient boosting
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#	Item
71	An Online Boosting Algorithm with Theoretical Justifications Shang-Tse Chen† [removed] Hsuan-Tien Lin‡ [removed] Add to Reading List Source URL: icml.cc Language: English - Date: 2012-06-07 13:20:16 AdaBoost Gradient boosting Perceptron Supervised learning Algorithm LPBoost BrownBoost Machine learning Ensemble learning Boosting
72	Fast Prediction of New Feature Utility Hoyt Koepke Department of Statistics University of Washington Seattle, WA[removed]Mikhail Bilenko Microsoft Research, Redmond, WA 12345 Add to Reading List Source URL: icml.cc Language: English - Date: 2012-06-07 13:20:08 Statistical inference Gradient boosting Kullback–Leibler divergence Lambda calculus Statistics Spectral theory Resampling
73	PDF Document Add to Reading List Source URL: www-stat.wharton.upenn.edu Language: English - Date: 2008-09-21 11:42:44 Decision trees Econometrics Statistical models Ensemble learning Gradient boosting Backfitting algorithm Normal distribution Decision tree learning Errors and residuals in statistics Statistics Regression analysis Machine learning
74	Technical DIscussion of TreeNet(tm) For further information consult: http://www.salford-systems.com/treenet.html Stochastic Gradient Boosting Jerome H. Friedman Add to Reading List Source URL: astro.temple.edu Language: English - Date: 2011-02-09 10:45:20 Gradient boosting Statistical inference Errors and residuals in statistics Normal distribution Regression analysis Variance AdaBoost Estimation theory Random forest Statistics Ensemble learning Decision trees
75	Parallel Boosting with Momentum Indraneel Mukherjee, Kevin Canini, Rafael Frongillo? , and Yoram Singer Google Inc. Abstract. We describe a new, simplified, and general analysis of a fusion of Nesterov’s accelerated gr Add to Reading List Source URL: canini.me Language: English - Date: 2013-06-29 02:08:53 Vector calculus Abstract algebra Linear algebra Differential calculus Vectors Vector space Gradient descent Gradient Coordinate descent Algebra Mathematics Numerical analysis
76	Learning from Heterogeneous Sources via Gradient Boosting Consensus Xiaoxiao Shi∗ Abstract Jean-Francois Paiement† Add to Reading List Source URL: david.grangier.info Language: English - Date: 2012-01-08 20:04:39 Decision trees Supervised learning Database Cross-validation Decision tree learning Graph Gradient boosting Flow network Geographic information system Statistics Machine learning Graph theory
77	GBC: Gradient Boosting Consensus Model for Heterogeneous Data Xiaoxiao Shi∗ Jean-Francois Paiement† Add to Reading List Source URL: david.grangier.info Language: English - Date: 2014-05-19 17:20:06 Supervised learning Gradient boosting Decision tree learning Graph Database Geographic information system Cross-validation Learning to rank Flow network Machine learning Artificial intelligence Computational statistics
78	LambdaSMARTTechReport.dvi Add to Reading List Source URL: research.microsoft.com Language: English - Date: 2008-10-16 19:13:52 Decision trees Ensemble learning Computational statistics Information retrieval Learning to rank Gradient boosting Algorithm Decision tree learning Boosting Machine learning Artificial intelligence Information science
79	Multi-Task Learning for Boosting with Application to Web Search Ranking Olivier Chapelle Add to Reading List Source URL: www.cse.wustl.edu Language: English - Date: 2010-09-09 16:44:06 Ensemble learning Natural language processing Statistical classification Learning Gradient boosting Supervised learning AdaBoost Learning to rank Information retrieval Statistics Machine learning Artificial intelligence
80	Package ‘gbm’ August 29, 2013 Version 2.1 Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2013-08-29 12:51:47 Boosting Gradient boosting AdaBoost Logistic regression Quantile regression Least squares Proportional hazards models Statistics Regression analysis Ensemble learning

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