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Gradient boosting
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#	Item
41	Package ‘gbm’ February 19, 2015 Version 2.1 Date 2013-05-10 Title Generalized Boosted Regression Models Author Greg Ridgeway with contributions from Add to Reading List Source URL: kambing.ui.ac.id Language: English - Date: 2015-02-19 17:55:09 Boosting Gradient boosting AdaBoost Logistic regression Quantile regression Least squares Proportional hazards models Statistics Regression analysis Ensemble learning
42	Human Boosting Harsh Pareek [removed] Pradeep Ravikumar [removed] Add to Reading List Source URL: www.cs.utexas.edu Language: English - Date: 2013-01-08 00:54:06 AdaBoost Gradient boosting Decision stump LogitBoost Boosting methods for object categorization LPBoost Machine learning Ensemble learning Boosting
43	Wikipedia Edit Number Prediction based on Temporal Dynamics Only arXiv:1110.5051v1 [cs.LG] 23 Oct 2011 Dell Zhang DCSIS Add to Reading List Source URL: arxiv.org Language: English - Date: 2011-10-24 22:59:02 Neural networks Artificial neural network Computational neuroscience Wikipedia Gradient boosting Data mining Machine learning Science Statistics
44	Idescat. SORT. Flexible quantile regression models: application to the study of the purple sea urchin. Volume 37 (1) Add to Reading List Source URL: www.idescat.cat Language: English - Date: 2013-06-12 05:48:47 Econometrics Parametric statistics Quantile regression Linear regression Quantile Mean squared error Normal distribution Generalized additive model for location scale and shape Gradient boosting Statistics Regression analysis Estimation theory
45	Web-based Appendix for The Evolution of Boosting Algorithms From Machine Learning to Statistical Modelling Andreas Mayr∗1 , Harald Binder2 , Olaf Gefeller1 , Matthias Schmid1,3 1 Add to Reading List Source URL: www.schattauer.de Language: English - Date: 2014-11-07 04:52:43 Gradient boosting Errors and residuals in statistics R AdaBoost Ordinary least squares Degrees of freedom Least squares Boosting Bootstrapping Statistics Regression analysis Ensemble learning
46	Accelerating Imitation Learning in Relational Domains via Transfer by Initialization Sriraam Natarajan1 , Phillip Odom1 , Saket Joshi2 , Tushar Khot4 , Kristian Kersting5 , and Prasad Tadepalli3 1 Add to Reading List Source URL: first-mm.informatik.uni-freiburg.de Language: English - Date: 2013-07-24 09:17:35 Decision trees Reinforcement learning Supervised learning Decision tree learning Gradient boosting Imitation Regression analysis Machine learning Statistics Learning
47	Accelerating Imitation Learning in Relational Domains via Transfer by Initialization Sriraam Natarajan1 , Phillip Odom1 , Saket Joshi2 , Tushar Khot4 , Kristian Kersting5 , and Prasad Tadepalli3 1 Add to Reading List Source URL: www.first-mm.eu Language: English - Date: 2013-07-24 09:17:35 Decision trees Reinforcement learning Supervised learning Decision tree learning Gradient boosting Imitation Regression analysis Machine learning Statistics Learning
48	Structure Learning with Hidden Data in Relational Domains - Opening the Closed-World Assumption Add to Reading List Source URL: first-mm.informatik.uni-freiburg.de Language: English - Date: 2013-07-24 09:27:48 Functions and mappings Model theory Ensemble learning Gradient boosting Function Expectation–maximization algorithm Supervised learning First-order logic Regression analysis Statistics Mathematics Machine learning
49	Lifted Parameter Learning in Relational Models Babak Ahmadi1 [removed] Kristian Kersting1,2,3 [removed] Add to Reading List Source URL: www.first-mm.eu Language: English - Date: 2012-07-18 13:16:28 Theoretical computer science M-estimators Stochastic optimization Estimation theory Stochastic gradient descent Markov logic network Conditional random field Gradient boosting Maximum likelihood Statistics Machine learning Probability and statistics
50	Structure Learning with Hidden Data in Relational Domains - Opening the Closed-World Assumption Add to Reading List Source URL: www.first-mm.eu Language: English - Date: 2013-07-24 09:27:48 Functions and mappings Model theory Ensemble learning Gradient boosting Function Expectation–maximization algorithm Supervised learning First-order logic Regression analysis Statistics Mathematics Machine learning

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