LightGBM: A Highly Efficient Gradient Boosting Decision Tree Guolin Ke1 , Qi Meng2 , Thomas Finley3 , Taifeng Wang1 , Wei Chen1 , Weidong Ma1 , Qiwei Ye1 , Tie-Yan Liu1 1 Microsoft Research 2 Peking University 3 Microsof

Source URL: papers.nips.cc

McRank: Learning to Rank Using Multiple Classification and Gradient Boosting Ping Li ∗ Dept. of Statistical Science Cornell University

Source URL: papers.nips.cc

Remote Sensing of Environment – 336 www.elsevier.com/locate/rse Classification of remotely sensed imagery using stochastic gradient boosting as a refinement of classification tree analysis Rick Lawrence a

Source URL: remotesensing.montana.edu

This article has been accepted for inclusion in a future issue of this journal. Content is final as presented, with the exception of pagination. IEEE GEOSCIENCE AND REMOTE SENSING LETTERS 1 A Comparative Study of Predic

Source URL: sites.bu.edu

• Machine learning
• Ensemble learning
• Artificial intelligence
• Statistics
• Decision trees
• Econometrics
• Regression analysis
• Lidar
• Robotic sensing
• Gradient boosting
• Linear regression
• Random forest

Advanced Root Cause Analysis for Product Quality Improvement using Machine Learning in TIBCO Spotfire GRADIENT BOOSTING MACHINE MODELING Gradient Boosting Machine

Source URL: spotfire.tibco.com

• Statistics
• Regression analysis
• Information
• Computing
• Econometrics
• Statistical models
• Business intelligence
• Insurance
• Predictive analytics
• Interaction
• Spotfire
• TIBCO Software

A General Framework for Learning an Ensemble of Decision Rules Krzysztof Dembczyński1 , Wojciech Kotłowski1 , and Roman Słowiński1,2 1 2

Source URL: www.ke.tu-darmstadt.de

• Generalized functions
• Smooth functions
• Ensemble learning
• Gradient boosting
• Distribution
• Loss function
• Gradient descent
• Mathematical optimization
• Logarithm
• operator
• Dirac delta function

Boosting in the Online Setting Charles Marsh Abstract Boosting in the batch setting is a well-known machine learning technique with strong theoretical foundations and extensive use in practice. In t

Source URL: www.crmarsh.com

• Ensemble learning
• AdaBoost
• Boosting
• LPBoost
• Decision stump
• K-nearest neighbors algorithm
• Gradient boosting

Chapter 4 O verf itt ing Avoi dance i n Regressi on Trees This chapter describes several approaches that try to avoid overfitting of the training data with too complex trees. In the context of tree-based models these str

Source URL: www.dcc.fc.up.pt

• Decision trees
• Pruning
• Decision tree learning
• Regression analysis
• Gradient boosting

A General Framework for Learning an Ensemble of Decision Rules Krzysztof Dembczyński1 Wojciech Kotłowski1 Roman Słowiński1,2 Institute of Computing Science, Poznań University of Technology, Poznań, Poland

Source URL: www.ke.tu-darmstadt.de

• Ensemble learning
• Gradient boosting
• Generalized functions
• Distribution
• Loss function
• Mathematical optimization
• Gradient descent
• Expected value
• Linear least squares
• Dirac delta function

Simultaneous Learning and Alignment: Multi-Instance and Multi-Pose Learning? Boris Babenko1 Piotr Doll´ar1,2

Source URL: pages.ucsd.edu

• Machine learning
• Ensemble learning
• Boosting
• Statistical classification
• Gradient boosting
• Supervised learning
• Multiple instance learning