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Ensemble learning
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291	Expert Systems with Applications[removed]–[removed]Contents lists available at ScienceDirect Expert Systems with Applications journal homepage: www.elsevier.com/locate/eswa Add to Reading List Source URL: www.stat.yale.edu Language: English - Date: 2009-08-24 10:59:56 AdaBoost Boosting Random forest Random subspace method Stability Machine learning Ensemble learning K-nearest neighbor algorithm
292	D A T A M I N I N G Distributed Data Mining in Credit Card Fraud Detection Add to Reading List Source URL: cs.fit.edu Language: English - Date: 1999-11-22 23:24:04 Boosting Statistical classification Classifier Pruning Random subspace method Boosting methods for object categorization Machine learning Ensemble learning AdaBoost
293	Subsampling for Efficient and Effective Unsupervised Outlier Detection Ensembles ∗ † Add to Reading List Source URL: www.dbs.ifi.lmu.de Language: English - Date: 2013-06-04 08:13:57 Robust statistics Outlier ELKI Anomaly detection Ensemble learning Quartile Receiver operating characteristic Local outlier factor Statistics Data mining Data analysis
294	Ensembles for Unsupervised Outlier Detection: Challenges and Research Questions [Position Paper] Arthur Zimek Ricardo J. G. B. Campello Add to Reading List Source URL: www.kdd.org Language: English - Date: 2014-01-31 16:18:34 Cluster analysis Machine learning Robust statistics Outlier Anomaly detection Consensus clustering Mixture model Ensemble learning Statistical ensemble Statistics Data analysis Data mining
295	Music Inclusion Strategies: High School Ensemble Model Cornerstone Assessments VSA/Accessibility The John F. Kennedy Center for the Performing Arts Alice Anne Darrow, Mary Adamek, Jean Crockett Inclusion in Music Educati Add to Reading List Source URL: www.nationalartsstandards.org Language: English - Date: 2014-12-18 11:08:25 Disability Education policy Music education Inclusion Learning disability Universal Design for Learning Research in Music Education Formative assessment John F. Kennedy Center for the Performing Arts Education Educational psychology Special education
296	Reliable Information Extraction for Single Trace Attacks Valentina Banciu, Elisabeth Oswald, Carolyn Whitnall Department of Computer Science, University of Bristol MVB, Woodland Road, Bristol BS8 1UB, UK Email: {Valentin Add to Reading List Source URL: eprint.iacr.org Language: English - Date: 2015-01-19 06:56:44 Statistical classification Ensemble learning Support vector machine Classifier K-nearest neighbor algorithm Random forest Cross-validation Side channel attack Machine learning Statistics Artificial intelligence
297	Music Inclusion Strategies: Middle School Ensemble Model Cornerstone Assessments VSA/Accessibility The John F. Kennedy Center for the Performing Arts Alice Anne Darrow, Mary Adamek, Jean Crockett Inclusion in Music Educa Add to Reading List Source URL: www.nationalartsstandards.org Language: English - Date: 2014-12-18 10:43:28 Disability Education policy Music education Inclusion Learning disability Universal Design for Learning Research in Music Education Formative assessment John F. Kennedy Center for the Performing Arts Education Educational psychology Special education
298	Improving FPGA Accelerated Tracking with Multiple Online Trained Classifiers Matthew Jacobsen, Siddarth Sampangi, Yoav Freund, Ryan Kastner Computer Science & Engineering University of California, San Diego {mdjacobs, ss Add to Reading List Source URL: kastner.ucsd.edu Language: English - Date: 2014-06-30 10:31:01 Computational statistics Machine learning Parts of speech Statistical classification AdaBoost Haar-like features Classifier Boosting Random subspace method Ensemble learning Artificial intelligence Learning
299	Journal of Machine Learning Research[removed]3181 Submitted 11/13; Revised 4/14; Published[removed]Do we Need Hundreds of Classifiers to Solve Real World Classification Problems? Add to Reading List Source URL: jmlr.org Language: English - Date: 2014-11-02 15:45:55 Ensemble learning Parts of speech Naive Bayes classifier Linear discriminant analysis Boosting Support vector machine Classifier Perceptron Random forest Statistics Machine learning Statistical classification
300	A multi-model ensemble method that combines imperfect models through learning Leonie van de Berge, Mathematical Institute Utrecht Frank Selten, Royal Netherlands Meteorological Institute Wim Wiegerinck, Radboud Universi Add to Reading List Source URL: www.sumoproject.eu Language: English* - Date: 2011-11-10 11:23:42 Computational science Climate model Economic model Coupled model intercomparison project Intergovernmental Panel on Climate Change Scientific modeling Scientific modelling Climate Conceptual model Atmospheric sciences Meteorology Climatology

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