Ensemble learning

Results: 532



#Item
221Mathematics / Statistical classification / Convex analysis / Machine learning / AdaBoost / Convex function / Mathematical optimization / Linear classifier / Boosting / Ensemble learning / Mathematical analysis / Statistics

........................................................................... STAT 538 Midterm Exam February 19, 2pm – February 21, 2013, 11:30am • take home exam

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Source URL: www.stat.washington.edu

Language: English - Date: 2015-03-11 22:28:29
222Computational statistics / AdaBoost / Haar-like features / Statistical classification / Boosting / Face detection / Classifier / Boosting methods for object categorization / Viola–Jones object detection framework / Artificial intelligence / Ensemble learning / Learning

Empirical Analysis of Detection Cascades of Boosted Classifiers for Rapid Object Detection Rainer Lienhart, Alexander Kuranov, Vadim Pisarevsky Microprocessor Research Lab, Intel Labs Intel Corporation, Santa Clara, CA 9

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Source URL: www.multimedia-computing.de

Language: English - Date: 2011-06-17 18:04:59
223Statistics / Formal sciences / Boosting / Neural network / Statistical classification / Data mining / Bootstrap aggregating / Book:Machine Learning - The Complete Guide / Machine learning / Ensemble learning / Artificial intelligence

BENEFITS OF CREATING ENSEMBLES OF CLASSIFIERS Dean Abbott - Abbott Analytics Introduction In recent years, there has been an explosion of papers in the data mining community discussing how to combine models or model pred

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Source URL: www.abbottanalytics.com

Language: English - Date: 2010-08-10 08:15:57
224Search algorithms / Ensemble learning / Resampling / Bootstrapping / SAS / Bootstrap aggregating / Hash function / Hash table / Algorithm / Statistics / Computational statistics / Statistical inference

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

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Source URL: www.datamineit.com

Language: English - Date: 2010-11-02 10:36:52
225Numerical software / Numerical linear algebra / Free statistical software / Statistical classification / Ensemble learning / Relevance vector machine / Shogun / Support vector machine / Basic Linear Algebra Subprograms / Machine learning / Statistics / Computational statistics

Journal of Machine Learning Research[removed]1758 Submitted 10/08; Revised 4/09; Published 7/09 Dlib-ml: A Machine Learning Toolkit Davis E. King

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Source URL: www.jmlr.org

Language: English - Date: 2009-08-24 19:08:32
226Data mining / Ensemble learning / Concept drift / Formal sciences / Data analysis / Statistical classification / Weka / Data stream clustering / Boosting / Machine learning / Computational statistics / Statistics

Journal of Machine Learning Research[removed]1604 Submitted 11/09; Published 4/10 MOA: Massive Online Analysis Albert Bifet

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Source URL: www.jmlr.org

Language: English - Date: 2010-05-05 17:35:55
227Statistical classification / Computational statistics / Statistical inference / AdaBoost / Boosting / Supervised learning / Naive Bayes classifier / Bootstrap aggregating / Multiclass classification / Statistics / Machine learning / Ensemble learning

Machine Learning, vv, 1–[removed]c 1998 Kluwer Academic Publishers, Boston. Manufactured in The Netherlands. An Empirical Comparison of Voting Classification

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Source URL: robotics.stanford.edu

Language: English - Date: 1998-10-19 18:24:53
228Non-parametric statistics / Regression analysis / Data analysis / Nonparametric regression / Boosting / Random forest / Bootstrapping / Cross-validation / Statistics / Ensemble learning / Statistical inference

COURSE TITLE: SC15 - Data Mining, Machine Learning, and Business Analytics DURATION: 1 day DATE AND TIME: Sat.25 VENUE: IBGE Dissemination Centre REGISTRATION FEE: Developed Country: € 180

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Source URL: www.isi2015.org

Language: English - Date: 2015-02-10 12:43:49
229Learning / Computational neuroscience / Ensemble learning / Cybernetics / Learning to rank / Gradient boosting / Support vector machine / Neural network / Ranking function / Machine learning / Statistics / Artificial intelligence

Multi-Task Learning for Learning to Rank in Web Search Jing Bai Ke Zhou, Guirong Xue Yahoo! Labs

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Source URL: www.yichang-cs.com

Language: English - Date: 2009-11-16 16:18:36
230Ensemble learning / AdaBoost / Classifier / Naive Bayes classifier / Boosting / Multiclass classification / Binary classification / Support vector machine / Random forest / Machine learning / Statistics / Statistical classification

Empirical Investigation of Multi-tier Ensembles for the Detection of Cardiac Autonomic Neuropathy Using Subsets of the Ewing Features J. Abawajy1 , A.V. Kelarev1 , A. Stranieri2 , H.F. Jelinek3 1

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Source URL: ceur-ws.org

Language: English - Date: 2012-11-26 06:31:24
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