Ensemble learning - PDFSEARCH.IO - Document Search Engine

Ensemble learning
Results: 532

#	Item
171	Online Multiple Instance Learning: A Boosting Approach Carlo Ciliberto SINA – Genova – Boosting Add to Reading List Source URL: www.lira.dist.unige.it Language: English - Date: 2011-12-20 06:51:20 AdaBoost Statistical classification Multiple-instance learning Boosting methods for object categorization LPBoost Machine learning Ensemble learning Boosting
172	S ECOND I NTERNATIONAL W ORKSHOP ON S TATISTICAL AND C OMPUTATIONAL T HEORIES OF Add to Reading List Source URL: www.lira.dist.unige.it Language: English - Date: 2011-12-08 18:16:21 Face recognition Ensemble learning Computer vision Statistical classification Viola–Jones object detection framework AdaBoost Face detection Boosting Perceptron Machine learning Artificial intelligence Statistics
173	Social choice in distributed classification tasks: dealing with vertically partitioned data∗ Mariana R. Mendoza and Ana L. C. Bazzan PPGC, Instituto de Inform´atica, UFRGS Porto Alegre, RS, Brazil Add to Reading List Source URL: www.inf.ufrgs.br Language: English - Date: 2014-06-24 05:16:50 Computational statistics Artificial intelligence Statistical classification Formal sciences Ensemble learning Support vector machine Software agent Data mining Neural network Statistics Machine learning Science
174	Machine Learning, 45, 5–32, 2001 c 2001 Kluwer Academic Publishers. Manufactured in The Netherlands. Random Forests LEO BREIMAN Add to Reading List Source URL: www.islab.ntua.gr Language: English - Date: 2015-02-05 08:23:19 Random forest AdaBoost Boosting Variance Feature selection Correlation and dependence Statistical classification Cross-validation Random subspace method Machine learning Statistics Ensemble learning
175	On the Effectiveness of Obfuscation Techniques in Online Social Networks Terence Chen1,2 , Roksana Boreli1,2 , Mohamed-Ali Kaafar1,3 , and Arik Friedman1,2 1 Add to Reading List Source URL: nrg.nicta.com.au Language: English - Date: 2014-05-11 22:50:20 Bayesian statistics Ensemble learning Recommender system Naive Bayes classifier Random forest Classifier Usability Obfuscation Inference Statistics Statistical classification Machine learning
176	Nonlinear Estimation and Classification, Springer, The Boosting Approach to Machine Learning An Overview Robert E. Schapire AT&T Labs Research Add to Reading List Source URL: www.lira.dist.unige.it Language: English - Date: 2011-12-08 18:16:11 Artificial intelligence Statistical classification AdaBoost Boosting LogitBoost Computational learning theory Binary classification Generalization error Multiclass classification Machine learning Ensemble learning Statistics
177	Microsoft PowerPoint - SINA_AdaBoost_Introduction.pptx Add to Reading List Source URL: www.lira.dist.unige.it Language: English - Date: 2011-12-08 18:16:06 Ensemble learning AdaBoost
178	Context-Sensitive Decision Forests for Object Detection Peter Kontschieder1 Samuel Rota Bul`o2 Antonio Criminisi3 Pushmeet Kohli3 Marcello Pelillo2 Horst Bischof1 1 Add to Reading List Source URL: www.dsi.unive.it Language: English - Date: 2012-12-04 13:41:03 Learning Decision trees Computer vision Ensemble learning Random forest Supervised learning Function Hough transform Statistical classification Machine learning Artificial intelligence Mathematics
179	Approaches to Adversarial Drift Alex Kantchelian Sadia Afroz Ling Huang Add to Reading List Source URL: www.cs.drexel.edu Language: English - Date: 2013-09-25 04:16:42 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
180	Ensemble Classifiers ● IDEA:   Add to Reading List Source URL: www.ic.unicamp.br Language: English - Date: 2012-05-08 12:02:27 Statistical classification Boosting Margin classifier Boosting methods for object categorization Machine learning Ensemble learning AdaBoost

UPDATE