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Ensemble learning
Results: 532

#	Item
341	Microsoft Word - BUPT at TRECVID 2008-ok.doc Add to Reading List Source URL: www-nlpir.nist.gov Language: English - Date: 2008-12-03 08:53:37 Learning Parts of speech Ensemble learning Statistical classification Conferences TRECVID Classifier Support vector machine Segmentation Statistics Artificial intelligence Machine learning
342	Detecting Particles in Cryo-EM Micrographs using Learned Features Satya P. Mallick1 Yuanxin Zhu2 Add to Reading List Source URL: vision.ucsd.edu Language: English - Date: 2004-01-28 17:57:55 Computational statistics Machine learning Face recognition AdaBoost Parts of speech Classifier Boosting Statistical classification Supervised learning Artificial intelligence Ensemble learning Learning
343	Oxford-IIIT TRECVID 2010 – Notebook Paper Mayank Juneja, Siddhartha Chandra, Omkar M. Parkhi, C. V. Jawahar Center for Visual Information Technology, International Institute of Information Technology, Gachibowli, Hyder Add to Reading List Source URL: www-nlpir.nist.gov Language: English - Date: 2011-03-04 14:18:39 Computer vision Statistical classification Ensemble learning Support vector machine Classifier Random forest Key frame Feature Boosting methods for object categorization Machine learning Statistics Artificial intelligence
344	Journal of Machine Learning Research[removed]654 Submitted 3/13; Revised 9/13; Published 2/14 Random Intersection Trees Rajen Dinesh Shah Add to Reading List Source URL: stat.ethz.ch Language: English - Date: 2014-02-24 23:38:32 Ensemble learning Random forest Decision tree model R-tree Connectivity Applied mathematics Mathematics Decomposition method Decision trees Theoretical computer science Computational complexity theory
345	Package ‘mboost’ October 2, 2014 Title Model-Based Boosting Version[removed]Date[removed]Description Functional gradient descent algorithm Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2014-10-02 11:30:58 Ensemble learning Statistical methods Mathematical optimization Smoothing spline Gradient boosting Null Matrix Least squares B-spline Statistics Regression analysis Splines
346	Journal of Machine Learning Research[removed] Published 2/08 Response to Mease and Wyner, Evidence Contrary to the Statistical View of Boosting, JMLR 9:131–156, 2008: And Yet It Overfits Add to Reading List Source URL: www.stat.berkeley.edu Language: English - Date: 2009-03-21 03:28:48 Boosting Statistical classification Classification rule Artificial neuron Boosting methods for object categorization Margin classifier Machine learning Ensemble learning AdaBoost
347	ModelMap: an R Package for Model Creation and Map Production Elizabeth A. Freeman, Tracey S. Frescino, Gretchen G. Moisen April 15, 2014 Abstract The ModelMap package (Freeman, 2009) for R (R Development Core Team, 2008) Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2014-07-02 10:05:39 Statistical models Decision trees Econometrics Regression model validation Random forest Gradient boosting Boosting Economic model Linear regression Statistics Regression analysis Ensemble learning
348	1 HUANG, YANG, WANG, MORI: LATENTBOOST Latent Boosting for Action Recognition Zhi Feng Huang1 Add to Reading List Source URL: www.cs.sfu.ca Language: English - Date: 2011-07-18 18:58:00 Support vector machine Statistics Ensemble learning Gradient boosting
349	Ecosystems[removed]: 181–199 DOI: [removed]s10021[removed]Newer Classification and Regression Tree Techniques: Bagging and Random Forests for Ecological Add to Reading List Source URL: www.fs.fed.us Language: English - Date: 2013-03-29 12:24:58 Decision trees Ensemble learning Econometrics Multivariate adaptive regression splines Random forest Decision tree learning Bootstrap aggregating Resampling Statistical model Statistics Regression analysis Machine learning
350	TRECVID 2007 by the Brno Group High Level Feature Extraction & Shot Boundary Detection Adam Herout, Vítězslav Beran, Michal Hradiš, Igor Potúček, Pavel Zemčík, Petr Chmelař Add to Reading List Source URL: www-nlpir.nist.gov Language: English - Date: 2008-03-03 10:55:06 Learning Statistical classification Machine learning Computer vision AdaBoost Support vector machine Boosting Feature Boosting methods for object categorization Artificial intelligence Statistics Ensemble learning

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