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Boosting
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#	Item
201	Explaining AdaBoost Robert E. Schapire Abstract Boosting is an approach to machine learning based on the idea of creating a highly accurate prediction rule by combining many relatively weak and inaccurate rules. The AdaB Add to Reading List Source URL: rob.schapire.net Language: English - Date: 2015-07-13 19:42:47
202	DIGITALEUROPE AND THE EC’S SKILLS STRATEGY 2016 Recommendations from DIGITALEUROPE Boosting the skills for the future of digital Europe 13 January 2016 Add to Reading List Source URL: eskillsjobsspain.com Language: English - Date: 2016-01-27 07:37:50
203	Identification of Songbird Species in Field Recordings Hsiao-Yu Tung htung Add to Reading List Source URL: sfish0101.bitbucket.org Language: English - Date: 2016-03-17 01:27:45 Artificial intelligence Machine learning Learning Statistical classification Support vector machine K-nearest neighbors algorithm Classifier chains Multi-label classification Binary classification Boosting Deep learning Polynomial kernel
204	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
205	EXPERIMENTAL ALGORITHMICS APPLIED TO ON-LINE MACHINE LEARNING 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 04:08:03 Artificial intelligence Machine learning Learning Theoretical computer science Ensemble learning Cybernetics Data mining Online machine learning Empirical algorithmics Boosting Algorithm engineering Algorithm
206	Hydrol. Earth Syst. Sci., 19, 4215–4228, 2015 www.hydrol-earth-syst-sci.netdoi:hess © Author(sCC Attribution 3.0 License. High-quality observation of surface imperviousness Add to Reading List Source URL: www.hydrol-earth-syst-sci.net Language: English - Date: 2016-01-11 05:17:43 Hydrology Storm Water Management Model Impervious surface Runoff model Surface runoff Urban runoff Stormwater Hydrological modelling Hydrograph Runoff Boosting Flood
207	The Russian Foundation for Technological Development: Boosting Business R & D in Russia Irina Dezhina Head of Division, IMEMO RAS, And Senior Expert-Analyst, RFTD Add to Reading List Source URL: rustec.asu.edu Language: English - Date: 2012-11-23 01:11:46
208	How Boosting the Margin Can Also Boost Classifier Complexity Lev Reyzin Yale University, Department of Computer Science, 51 Prospect Street, New Haven, CT 06520, USA Robert E. Schapire Add to Reading List Source URL: homepages.math.uic.edu Language: English - Date: 2014-09-30 15:06:52
209	Analyzing Margins in Boosting Lev Reyzin Princeton University Class of 2005, BSE Senior Independent Work Advised by Professor Robert Schapire Add to Reading List Source URL: www.levreyzin.com Language: English - Date: 2010-09-09 14:02:47
210	How Boosting the Margin Can Also Boost Classifier Complexity ICML ’06 Lev Reyzin Add to Reading List Source URL: www.levreyzin.com Language: English - Date: 2009-10-27 11:25:10 Machine learning Artificial intelligence Ensemble learning Learning Boosting AdaBoost Statistical classification Classifier Robert Schapire Generalization error VC dimension Margin classifier

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