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Ensemble learning
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#	Item
11	Paired Learners for Concept Drift Stephen H. Bach and Marcus A. Maloof Department of Computer Science Georgetown University Washington, DCUSA {bach, maloof}@cs.georgetown.edu Add to Reading List Source URL: stephenbach.net Language: English - Date: 2013-06-10 18:15:07 Cognition Neuropsychology Educational psychology Education Machine learning Learning Concept drift Data mining Ensemble learning
12	Efficient and Robust Automated Machine Learning Matthias Feurer Aaron Klein Katharina Eggensperger Jost Tobias Springenberg Add to Reading List Source URL: papers.nips.cc Language: English - Date: 2016-01-30 21:34:03 Artificial intelligence Statistics Machine learning Model selection Statistical classification Ensemble learning Hyperparameter optimization Mathematical optimization Support vector machine Boosting Deep learning Weka
13	A Few Useful Things to Know about Machine Learning Pedro Domingos Department of Computer Science and Engineering University of Washington Seattle, WA, U.S.A. Add to Reading List Source URL: homes.cs.washington.edu Language: English - Date: 2015-08-13 22:08:12 Machine learning Artificial intelligence Statistical classification Learning Ensemble learning Cybernetics Boosting Support vector machine Linear classifier Naive Bayes classifier Online machine learning Generalization error
14	Charu C. Aggarwal IBM T J Watson Research Center Yorktown, NYOutlier Ensembles Add to Reading List Source URL: www.outlier-analytics.org Language: English - Date: 2013-08-13 03:47:38 Statistics Information Data Data mining Robust statistics Outlier Statistical data Formal sciences Ensemble learning K-nearest neighbors algorithm Local outlier factor Anomaly detection
15	Learning Multi-scale Block Local Binary Patterns for Face Recognition Shengcai Liao, Xiangxin Zhu, Zhen Lei, Lun Zhang, and Stan Z. Li Center for Biometrics and Security Research & National Laboratory of Pattern Recognit Add to Reading List Source URL: www.cbsr.ia.ac.cn Language: English - Date: 2007-09-09 11:28:31 Artificial intelligence Feature detection Machine learning Face recognition Local binary patterns Ensemble learning Learning Local ternary patterns
16	Methods for Multi-Category Cancer Diagnosis from Gene Expression Data: A Comprehensive Evaluation to Inform Decision Support System Development Alexander Statnikov, Constantin F. Aliferis, Ioannis Tsamardinos Discovery S Add to Reading List Source URL: www.dsl-lab.org Language: English - Date: 2004-02-18 20:07:17 Machine learning Learning Statistics Artificial intelligence Statistical classification Model selection Support vector machine Cross-validation K-nearest neighbors algorithm Ensemble learning Kernel method Pattern recognition
17	Data Stream Classification using Random Feature Functions and Novel Method Combinations Jesse Read Albert Bifet Add to Reading List Source URL: users.ics.aalto.fi Language: English - Date: 2015-08-21 10:06:56 Machine learning Artificial intelligence Learning Statistical classification Massive Online Analysis K-nearest neighbors algorithm Ensemble learning Classifier chains Multi-label classification Concept drift Stochastic gradient descent Naive Bayes classifier
18	Pedestrian Friendly Traffic Signal Control FINAL RESEARCH REPORT Stephen F. Smith (PI), Gregory J. Barlow, Hsu-Chieh Hu, Ju-Hsuan Hua Add to Reading List Source URL: utc.ices.cmu.edu Language: English - Date: 2016-04-07 19:18:46 Computer vision Artificial intelligence Vision Feature detection Image processing Ensemble learning Traffic signals Pedestrian detection Surveillance Histogram of oriented gradients Background subtraction Foreground detection
19	IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, VOL. 11, NO. 2, JUNEA General Active-Learning Framework for On-Road Vehicle Recognition and Tracking Add to Reading List Source URL: cvrr.ucsd.edu Language: English - Date: 2010-08-06 17:35:06 Artificial intelligence Ensemble learning Learning Cascading classifiers Boosting AdaBoost Machine learning Type I and type II errors Supervised learning Intelligent transportation system Artificial neural network ViolaJones object detection framework
20	LNAICatenary Support Vector Machines Add to Reading List Source URL: rlair.cs.ucr.edu Language: English - Date: 2011-01-19 19:25:43 Statistical classification Mathematical analysis Analysis Mathematics Ensemble learning Mathematical optimization Linear algebra Convex analysis Support vector machine Linear classifier Norm AdaBoost

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