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Ensemble learning
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181	Simple Training of Dependency Parsers via Structured Boosting Qin Iris Wang Department of Computing Science University of Alberta Add to Reading List Source URL: webdocs.cs.ualberta.ca Language: English - Date: 2006-12-29 14:43:25 Learning Corpus linguistics Theoretical computer science Treebank Boosting Parsing Michael Collins Supervised learning Structured prediction Machine learning Artificial intelligence Ensemble learning
182	Learning Coordination Classifiers Yuhong Guo Russell Greiner Dale Schuurmans Department of Computing Science University of Alberta Add to Reading List Source URL: webdocs.cs.ualberta.ca Language: English - Date: 2005-06-06 20:49:24 Statistical classification Ensemble learning AdaBoost Supervised learning Support vector machine Pattern recognition Margin classifier Naive Bayes classifier Boosting Statistics Machine learning Artificial intelligence
183	PR2 Looking at Things – Ensemble Learning for Unstructured Information Processing with Markov Logic Networks Daniel Nyga1 , Ferenc Balint-Benczedi2 and Michael Beetz2 Abstract— We investigate the perception and reas Add to Reading List Source URL: ai.uni-bremen.de Language: English - Date: 2015-02-04 06:50:04 Mental processes Knowledge Cognitive science Vision Computer vision Object recognition 3D single object recognition Philosophy of perception Color Mind Perception Philosophy of mind
184	1 RANDOM FORESTS Leo Breiman Statistics Department Add to Reading List Source URL: chem-eng.utoronto.ca Language: English - Date: 2012-04-21 09:42:39 AdaBoost Confidence interval Boosting Variance Random subspace method Statistics Ensemble learning Random forest
185	Much Faster Bootstraps Using SAS® John Douglas (“J.D.”) Opdyke,* DataMineIt Abstract Seven bootstrap algorithms coded in SAS® are compared. The fastest (“OPDY”), which uses no modules beyond Base SAS®, achieve Add to Reading List Source URL: interstat.statjournals.net Language: English - Date: 2012-06-05 16:13:12 Search algorithms Ensemble learning Resampling Bootstrapping SAS Bootstrap aggregating Hash function Hash table Algorithm Statistics Computational statistics Statistical inference
186	Recap: Multiple Views and Motion • Epipolar geometry – Relates cameras in two positions – Fundamental matrix maps from a point in one image to a line (its epipolar line) in the other – Can solve for F given corre Add to Reading List Source URL: cs.brown.edu Language: English - Date: 2013-10-07 14:31:50 Learning Statistical classification Epipolar geometry Fundamental matrix Boosting methods for object categorization Ensemble learning Linear classifier Artificial intelligence Machine learning Statistics
187	Variable selection using Random Forests Robin Genuer, Jean-Michel Poggi, Christine Tuleau-Malot To cite this version: Robin Genuer, Jean-Michel Poggi, Christine Tuleau-Malot. Variable selection using Random Forests. Patt Add to Reading List Source URL: hal.archives-ouvertes.fr Language: English - Date: 2015-02-02 11:22:56 Decision trees Statistical models Ensemble learning Random forest Dummy variable Linear regression Variance Decision tree learning Quantification Statistics Regression analysis Econometrics
188	A Course in Machine Learning Hal Daumé III 11 \| E NSEMBLE M ETHODS Add to Reading List Source URL: ciml.info Language: English - Date: 2014-09-24 16:08:32 Boosting Linear classifier Statistical classification Perceptron Random forest Decision stump K-nearest neighbor algorithm Margin classifier Random subspace method Machine learning Ensemble learning AdaBoost
189	An Introduction to Boosting and Leveraging Ron Meir1 and Gunnar R¨ atsch2 1 Department of Electrical Engineering, Technion, Haifa 32000, Israel Add to Reading List Source URL: www.face-rec.org Language: English - Date: 2006-03-20 12:01:19 Boosting LogitBoost Probably approximately correct learning Supervised learning Algorithm Margin classifier LPBoost Machine learning Ensemble learning AdaBoost
190	Deep Boosting Corinna Cortes Google Research, 111 8th Avenue, New York, NYCORINNA @ GOOGLE . COM Add to Reading List Source URL: jmlr.org Language: English - Date: 2015-02-01 17:03:26 Boosting Decision stump Computational learning theory Supervised learning Pruning BrownBoost CoBoosting Machine learning Ensemble learning AdaBoost

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