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Ensemble learning
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131	Categorizing Children Automated Text Classification of CHILDES files Rob Opsomer a Petr Knoth b Add to Reading List Source URL: people.kmi.open.ac.uk Language: English - Date: 2012-05-18 05:35:08 Statistical classification Ensemble learning Neural networks Data mining Linear classifier AdaBoost Perceptron K-nearest neighbor algorithm Boosting Machine learning Artificial intelligence Statistics
132	Revisiting Example Dependent Cost-Sensitive Learning with Decision Trees Oisin Mac Aodha Gabriel J. Brostow University College London http://visual.cs.ucl.ac.uk/pubs/costSensitive Add to Reading List Source URL: visual.cs.ucl.ac.uk Language: English - Date: 2013-10-13 13:11:56 Statistical classification Decision trees Data mining Ensemble learning Decision tree learning Random forest Support vector machine Binary classification Feature Statistics Machine learning Artificial intelligence
133	Multiple Kernel Learning for Vehicle Detection in Wide Area Motion Imagery Pengpeng Liang1 Gregory Teodoro1 Add to Reading List Source URL: www.dabi.temple.edu Language: English - Date: 2012-05-12 23:52:42 Statistical classification Ensemble learning AdaBoost Support vector machine Perceptron Boosting Receiver operating characteristic Classifier Histogram of oriented gradients Machine learning Statistics Artificial intelligence
134	Learning-based vessel segmentaion in mamographic images Erkang Cheng1 Shawn McLaughlin2 Vasileios Megalooikonomou2 3 Predrag R. Bakic Add to Reading List Source URL: www.dabi.temple.edu Language: English - Date: 2011-06-08 12:36:07 Artificial intelligence Statistics Bioinformatics Haar-like features Segmentation AdaBoost Learning Region growing Gabor filter Image processing Computer vision Ensemble learning
135	Respectful Cameras: Detecting Visual Markers in Real-Time to Address Privacy Concerns Jeremy Schiff, Marci Meingast, Deirdre K. Mulligan, Shankar Sastry, and Ken Goldberg Abstract To address privacy concerns regarding d Add to Reading List Source URL: www.ieor.berkeley.edu Language: English - Date: 2008-10-24 20:13:34 Computer graphics Learning AdaBoost Boosting Decision stump Face detection Visual privacy Pixel Image resolution Image processing Ensemble learning Artificial intelligence
136	Machine Learning, 29, 103–c 1997 Kluwer Academic Publishers. Manufactured in The Netherlands. ° On the Optimality of the Simple Bayesian Classifier Add to Reading List Source URL: www.cs.iastate.edu Language: English - Date: 2002-03-13 15:51:49 Machine learning Naive Bayes classifier Bayesian network Random naive Bayes Ensemble learning Statistics Bayesian statistics Statistical classification
137	Linear Time Nonparametric Classification and Feature Selection with Polynomial MPMC Cascades for large datasets Markus Breitenbach1 , Sander M. Bohte1,2 , and Gregory Z. Grudic1 1 Add to Reading List Source URL: markus-breitenbach.com Language: English - Date: 2004-06-24 11:16:08 Applied mathematics Linear classifier Ensemble learning Time complexity Support vector machine Algorithm Computational complexity theory Stability Boosting methods for object categorization Machine learning Statistics Statistical classification
138	Joint Statistics Seminar The Hong Kong University of Science and Technology Classification of Relevant Document Using the Multinomial Model Add to Reading List Source URL: www.bm.ust.hk Language: English - Date: 2013-08-19 21:28:35 Naive Bayes classifier Multinomial Statistical models Ensemble learning Statistics Multinomial distribution Regression analysis
139	SPM Users Guide Introduction to RandomForests This guide provides a brief introduction to RandomForests. Title: Introduction to RandomForests Short Description: This guide provides a brief introduction to RandomForests.. Add to Reading List Source URL: media.salford-systems.com Language: English - Date: 2013-08-07 00:04:40 Regression analysis Decision trees Random forest Bootstrap aggregating Decision tree Feature selection Data analysis Tree R-tree Statistics Machine learning Ensemble learning

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