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Ensemble learning
Results: 532

#	Item
381	Integrating Randomization and Discrimination for Classifying Human-Object Interaction Activities Aditya Khosla, Bangpeng Yao and Li Fei-Fei 1 Introduction Add to Reading List Source URL: people.csail.mit.edu Language: English - Date: 2014-02-01 15:26:45 Statistical classification Decision trees Ensemble learning Computer vision Random forest Feature selection Object recognition Decision tree learning Segmentation Statistics Machine learning Artificial intelligence
382	Jon Jenkins1,3, Sean McCauliff2,3, Joe Catanzarite1,3, Joe Twicken1,3, and Jennifer Campbell2,3 1SETI Institute, 2Orbital Sciences corporation, 3NASA Ames Research Center 4. New Results for Q1-Q16 Add to Reading List Source URL: nexsci.caltech.edu Language: English - Date: 2013-11-22 11:13:14 Exoplanetology Kepler mission Space telescopes Ensemble learning Discovery program Kepler Random forest Spacecraft Spaceflight Space technology
383	Transfer Learning with an Ensemble of Background Tasks Zvika Marx, Michael T. Rosenstein, Leslie Pack Kaelbling Computer Science and Artificial Intelligence Laboratory Massachusetts Institute of Technology Add to Reading List Source URL: people.csail.mit.edu Language: English - Date: 2007-03-08 12:14:42 Educational psychology Experiential learning Pedagogy Transfer of learning Logistic regression Cross-validation Statistics Regression analysis Machine learning
384	Content Area Music Grade Level 9th-12th Grade Course Name/Course Code High School Performance Course (Learning to Play/Sing) (Non-Ensemble) Add to Reading List Source URL: www.cde.state.co.us Language: English - Date: 2013-05-02 16:38:42 Computing World Wide Web Entertainment Music Google
385	the ensemble A NE WSLE T TER FOR THE U.S. EL SISTEMA MOVEMENT 3 \| [removed]:14 PM Add to Reading List Source URL: ericbooth.net Language: English - Date: 2012-12-31 13:27:00 Music education Venezuelan culture Learning José Antonio Abreu Homework Kalamazoo Michigan Venezuela Education El Sistema Government of Venezuela
386	Approaches to Adversarial Drift Alex Kantchelian Sadia Afroz Ling Huang Add to Reading List Source URL: www.cs.drexel.edu Language: English - Date: 2013-09-06 17:26:04 Linear classifier Learning classifier system Concept drift Malware Support vector machine Binary classification Naive Bayes classifier Ensemble learning Pattern recognition Statistics Machine learning Statistical classification
387	Package ‘bootfs’ July 2, 2014 Type Package Title Use multiple feature selection algorithms to derive robust feature sets for two or multiclass classification problems. Version 1.4.2 Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2014-07-02 11:23:14 Computational statistics Ensemble learning Data analysis Resampling Null Bootstrapping Statistical hypothesis testing Support vector machine Bootstrap aggregating Statistics Information Statistical inference
388	Collision Detection in Legged Locomotion using Supervised Learning Finale Doshi, Emma Brunskill, Alexander Shkolnik, Thomas Kollar, Khashayar Rohanimanesh, Russ Tedrake, Nicholas Roy Abstract— We propose a fast approac Add to Reading List Source URL: groups.csail.mit.edu Language: English - Date: 2007-09-17 15:56:53 Artificial intelligence Computational statistics AdaBoost Boosting Collision detection Collision Robotics Humanoid robot Receiver operating characteristic Statistics Ensemble learning Statistical classification
389	Boosting with Structural Sparsity John Duchi Department of EECS, University of California, Berkeley, CA[removed]Yoram Singer Google, Mountain View, CA 94043 Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2009-05-18 12:17:02 Ensemble learning AdaBoost LogitBoost
390	CALIFORNIA STATE SCIENCE FAIR 2013 PROJECT SUMMARY Name(s) Yelena Mandelshtam Add to Reading List Source URL: www.usc.edu Language: English - Date: 2013-04-13 17:37:14 Learning Language acquisition Algorithm Boosting Language Science Linguistics Applied linguistics Ensemble learning

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