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Gradient boosting
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#	Item
11	Automated Parameter Optimization of Classification Techniques for Defect Prediction Models Chakkrit Tantithamthavorn1 , Shane McIntosh2 , Ahmed E. Hassan3 , Kenichi Matsumoto1 1 Nara Institute of Science and Add to Reading List Source URL: sail.cs.queensu.ca Language: English - Date: 2016-02-19 18:06:49 Statistics Machine learning Statistical classification Artificial intelligence Ensemble learning Statistical inference Computational statistics Support vector machine Bootstrapping Boosting Naive Bayes classifier Gradient boosting
12	Efficient Second-Order Gradient Boosting for Conditional Random Fields Tianqi Chen Sameer Singh Ben Taskar Add to Reading List Source URL: jmlr.org Language: English - Date: 2016-05-01 21:17:10
13	Efficient Second-Order Gradient Boosting for CRFs Supplementary Material A Applying it to Talyor expansion in Eq (4), we have Add to Reading List Source URL: jmlr.org Language: English - Date: 2016-05-01 21:17:10
14	Tracking-by-Segmentation with Online Gradient Boosting Decision Tree Jeany Son1,2 Ilchae Jung1,2 Kayoung Park2 Bohyung Han1,2 1 Add to Reading List Source URL: www.cv-foundation.org Language: English - Date: 2015-10-24 15:45:11
15	Efficient Second-Order Gradient Boosting for Conditional Random Fields Tianqi Chen Sameer Singh Ben Taskar Add to Reading List Source URL: sameersingh.org Language: English - Date: 2016-03-01 20:33:28 Mathematical analysis Machine learning Mathematics Functional analysis Ensemble learning Conditional random field Distribution Gradient boosting LogitBoost Convolution Characteristic function
16	CS168: The Modern Algorithmic Toolbox Lecture #15: Gradient Descent Basics Tim Roughgarden & Gregory Valiant May 18, Add to Reading List Source URL: web.stanford.edu Language: English - Date: 2015-05-27 17:30:42 Numerical analysis Mathematical analysis Mathematical optimization Convex analysis Operations research Convex optimization Gradient descent Derivative Convex function Linear programming Gradient boosting FrankWolfe algorithm
17	Boosted Optimization for Network Classification Timothy Hancock Bioinformatics Center Institute for Chemical Research Kyoto University, Japan Add to Reading List Source URL: jmlr.csail.mit.edu Language: English - Date: 2010-03-31 18:50:22 Graph theory Ensemble learning Formal sciences Statistical models Belief propagation Gradient boosting AdaBoost Pattern recognition Bayesian network Statistics Graphical models Machine learning
18	B ARCELONA G RADUATE S CHOOL OF E CONOMICS - D ATA S CIENCE Random Forest Cover Type Prediction Jéssica Leal, Tim Kreienkamp and Philipp Schmidt Add to Reading List Source URL: dl.dropboxusercontent.com Language: English Ensemble learning Decision trees Regression analysis Random forest Cross-validation Overfitting Gradient boosting Boosting Decision tree learning Machine learning Statistics Computational statistics
19	Cross-Age Face Verification by Coordinating with Cross-Face Age Verification Liang Du Haibin Ling∗ Department of Computer and Information Sciences, Temple University, Philadelphia, USA {liang.du, hbling}@temple.edu Add to Reading List Source URL: www.dabi.temple.edu Language: English - Date: 2015-04-10 21:24:24 Dimension reduction Feature selection Model selection Object recognition Algorithm Gradient boosting Support vector machine Statistics Machine learning Artificial intelligence
20	Stacked Generalization Learning to Analyze Teenage Distress Add to Reading List Source URL: affect.media.mit.edu Language: English - Date: 2015-03-20 13:02:55 Statistical classification Ensemble learning Evaluation methods Research methods Support vector machine Qualitative research Feature selection Gradient boosting Statistics Machine learning Science

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