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Ensemble learning
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331	Package ‘ada’ July 2, 2014 Version[removed]Date[removed]Title ada: an R package for stochastic boosting Author Mark Culp, Kjell Johnson, and George Michailidis Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2014-07-02 11:11:47 Statistics Machine learning Data types Boosting Ada Is functions Plot Gradient boosting Array data type Computing Ensemble learning Software engineering
332	Package ‘varSelRF’ July 2, 2014 Version 0.7-3 Date 2010-10-28 Title Variable selection using random forests Author Ramon Diaz-Uriarte Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2014-07-02 16:47:53 Ensemble learning Random forest Multivariate statistics Random variable Variable Plot Feature selection Is functions Correlation and dependence Statistics Information Science
333	SFU at TRECVid 2010: Surveillance Event Detection Zhi Feng Huang School of Computing Science Simon Fraser University, Canada Greg Mori Add to Reading List Source URL: www-nlpir.nist.gov Language: English - Date: 2011-03-04 14:18:51 Artificial intelligence Optics Computer vision Learning AdaBoost Ensemble learning Camera
334	UEC at TRECVID 2008 High Level Feature Task Zhiyuan Tang and Keiji Yanai Department of Computer Science, The University of Electro-Communications, JAPAN {tou-s,yanai}@mm.cs.uec.ac.jp Abstract Add to Reading List Source URL: www-nlpir.nist.gov Language: English - Date: 2008-12-03 08:54:11 Image processing Learning Computer vision Statistical classification Machine learning AdaBoost Feature Segmentation Boosting Artificial intelligence Ensemble learning Statistics
335	Oxford/IIIT TRECVID 2008 – Notebook paper James Philbin, Manuel Marin-Jimenez, Siddharth Srinivasan and Andrew Zisserman Visual Geometry Group, Department of Engineering Science, University of Oxford, United Kingdom Mi Add to Reading List Source URL: www-nlpir.nist.gov Language: English - Date: 2008-12-03 08:54:05 Vision Image processing Statistical classification Histogram of oriented gradients Ensemble learning Machine learning Object recognition Segmentation Random forest Computer vision Statistics Artificial intelligence
336	Model-based Boosting in R A Hands-on Tutorial Using the R Package mboost Benjamin Hofner∗† Andreas Mayr† Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2014-10-02 11:30:58 Econometrics Decision trees Actuarial science Gradient boosting Boosting Linear regression Least squares Generalized linear model Multicollinearity Statistics Regression analysis Ensemble learning
337	Package ‘bigrf’ July 2, 2014 Version 0.1-11 Date 2014-05-16 Title Big Random Forests: Classification and Regression Forests for Large Data Sets Maintainer Aloysius Lim Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2014-07-02 11:20:52 Artificial intelligence Machine learning Ensemble learning Random forest C++ Decision tree learning Supervised learning Matrix Subroutine Computer programming Decision trees Computational statistics
338	Package ‘ModelMap’ July 2, 2014 Type Package Title Creates Random Forest and Stochastic Gradient Boosting Models,and applies them to GIS .img files to build detailed prediction maps. Version[removed] Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2014-07-02 10:05:39 Learning Gradient boosting Random forest Null Boosting Statistics /dev/null Ensemble learning Decision trees Artificial intelligence
339	Oxford-IIIT TRECVID 2009 – Notebook Paper Sreekanth Vempati, Mihir Jain, Omkar M. Parkhi, C. V. Jawahar Center for Visual Information Technology, International Institute of Information Technology, Gachibowli, Hyderabad Add to Reading List Source URL: www-nlpir.nist.gov Language: English - Date: 2009-12-07 10:16:56 Computer vision Statistical classification Ensemble learning Face recognition Support vector machine Object recognition Face detection Random forest Boosting methods for object categorization Artificial intelligence Machine learning Vision
340	Boosting with Incomplete Information Gholamreza Haffari1∗ Yang Wang1∗ Shaojun Wang2 Greg Mori1 Add to Reading List Source URL: www.cs.sfu.ca Language: English - Date: 2008-05-20 17:07:06 Ensemble learning Supervised learning Kullback–Leibler divergence Margin classifier AdaBoost Quasigroup Mutual information Lambda calculus Statistics Mathematics Machine learning

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