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Ensemble learning
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#	Item
71	Microsoft Word - getting started with Ensemble Add to Reading List Source URL: ctl.centre.edu Language: English - Date: 2015-08-28 13:39:43 Learning management systems Data synchronization Dropbox South of Market San Francisco Playlist Moodle
72	Supervised Learning of Edges and Object Boundaries Piotr Doll´ar Zhuowen Tu Serge Belongie Add to Reading List Source URL: pages.ucsd.edu Language: English - Date: 2006-04-02 13:05:32 Feature detection Ensemble learning Machine learning Image segmentation Canny edge detector Supervised learning Edge detection Boosting AdaBoost Conditional random field Outline of object recognition Cascading classifiers
73	Automated Parameter Optimization of Classification Techniques for Defect Prediction Models Chakkrit Tantithamthavorn1 , Shane McIntosh2 , Ahmed E. Hassan3 , Kenichi Matsumoto1 1 Nara Institute of Science and Add to Reading List Source URL: sail.cs.queensu.ca Language: English - Date: 2016-02-19 18:06:49 Statistics Machine learning Statistical classification Artificial intelligence Ensemble learning Statistical inference Computational statistics Support vector machine Bootstrapping Boosting Naive Bayes classifier Gradient boosting
74	Microsoft PowerPoint - cs559f15_Week6.pptx Add to Reading List Source URL: www.cs.stevens.edu Language: English - Date: 2015-10-08 21:58:53 Statistical classification Statistics Artificial intelligence Machine learning Multivariate statistics Ensemble learning Linear discriminant analysis K-nearest neighbors algorithm Discriminant function analysis AdaBoost Boosting Classifier
75	An Empirical Study of Just-in-Time Defect Prediction using Cross-Project Models 1 Takafumi Fukushima1 , Yasutaka Kamei1 , Shane McIntosh2 , Add to Reading List Source URL: posl.ait.kyushu-u.ac.jp Language: English - Date: 2014-03-29 02:44:51 Survival analysis Biostatistics Data mining Detection theory Receiver operating characteristic Statistical classification Cross-validation Prediction Ensemble learning Reliability engineering Regression analysis
76	BUILDING ENSEMBLES OF SURROGATES BY OPTIMAL CONVEX COMBINATION Martina Friese, Thomas Bartz-Beielstein SPOTSeven Lab, TH K¨ oln, Gummersbach, Germany , Add to Reading List Source URL: bioma.ijs.si Language: English - Date: 2016-05-13 04:11:34 Statistics Numerical analysis Regression analysis Design of experiments Operations research Mathematics Linear algebra Surrogate model Mathematical optimization Ensemble learning Kriging Economic model
77	CS 559: Homework Set 4 Due: December 3, 6:00pm Philippos Mordohai Department of Computer Science Stevens Institute of Technology Add to Reading List Source URL: www.cs.stevens.edu Language: English - Date: 2015-11-19 04:16:40 Machine learning Artificial intelligence Learning Ensemble learning Statistical classification Boosting AdaBoost Support vector machine Margin LIBSVM
78	Ensemble Approaches in Evolutionary Game Strategies: A Case Study in Othello Kyung-Joong Kim and Sung-Bae Cho checkers and chessThere is a good source of references for this area [9]. There are many different ty Add to Reading List Source URL: www.csse.uwa.edu.au Language: English - Date: 2009-02-05 01:17:33 Cybernetics Evolution Mathematical optimization Artificial intelligence Evolutionary computation Evolutionary algorithm Genetic algorithm Computational intelligence Machine learning Artificial neural network Ensemble learning Memetic algorithm
79	Virtual Bagging for an Evolved Agent Controller Bobby D. Bryant, Member, IEEE is, if the optimal action in a given environment is to move to the left, then the optimal action in a mirror image of that environment would b Add to Reading List Source URL: game.itu.dk Language: English Computational statistics Machine learning Applied mathematics Ensemble learning Statistics Computational neuroscience Bootstrap aggregating Agent-based model Artificial neural network Simulation Neuroevolution
80	Classifying Skewed Data: Importance Weighting to Optimize Average Recall Andrew Rosenberg1 1 Department of Computer Science, Queens College (CUNY), Flushing, NY, USA Add to Reading List Source URL: speech.cs.qc.cuny.edu Language: English - Date: 2012-10-22 02:42:52 Statistical classification Machine learning Ensemble learning Data mining K-nearest neighbors algorithm Multiclass classification Boosting Pitch accent Support vector machine AdaBoost Receiver operating characteristic Binary classification

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