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Ensemble learning
Results: 532

#	Item
391	Random Classification Noise Defeats All Convex Potential Boosters Philip M. Long Google, 1600 Amphitheatre Parkway, Mountain View, CA[removed]Rocco A. Servedio Computer Science Department, Columbia University, New York, NY Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2008-05-22 03:19:26 Learning Boosting AdaBoost BrownBoost LogitBoost Statistical classification Valuation Function Margin classifier Ensemble learning Mathematics Artificial intelligence
392	Predicting Probability Distributions for Surf Height Using an Ensemble of Mixture Density Networks Michael Carney [removed] P´ Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2008-12-01 11:14:44 Computational statistics Ensemble learning Statistical forecasting Computational neuroscience Supervised learning Artificial neural network Forecasting Pattern recognition Normal distribution Statistics Machine learning Mathematics
393	More Generality in Efficient Multiple Kernel Learning Manik Varma [removed] Microsoft Research India, Second Main Road, Sadashiv Nagar, Bangalore[removed], India Bodla Rakesh Babu Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2009-05-18 12:16:26 Ensemble learning Support vector machine Multivariate statistics Supervised learning Dimension reduction Kernel LPBoost AdaBoost Least squares support vector machine Statistics Machine learning Statistical classification
394	Efficient Rule Ensemble Learning using Hierarchical Kernels Pratik Jawanpuria J. Saketha Nath Ganesh Ramakrishnan Dept. of CSE, IIT-Bombay, Mumbai, INDIA. Add to Reading List Source URL: www.icml-2011.org Language: English - Date: 2011-06-01 14:49:32 Support vector machine Vector space Algorithm Algebra Mathematics Statistical classification
395	Boosting Classifiers with Tightened L0 -Relaxation Penalties Noam Goldberg [removed] Faculty of IE&M, Technion - Israel Institute of Technology, Haifa 3200, Israel Jonathan Eckstein Add to Reading List Source URL: www.icml2010.org Language: English - Date: 2010-06-13 09:06:40 AdaBoost LPBoost Statistical classification Boosting Support vector machine Ensemble learning Statistics Learning
396	Optimizing to Arbitrary NLP Metrics using Ensemble Selection Art Munson, Claire Cardie, Rich Caruana Department of Computer Science Cornell University Ithaca, NY 14850 {mmunson, cardie, caruana}@cs.cornell.edu Add to Reading List Source URL: www.cs.cornell.edu Language: English - Date: 2006-02-09 13:57:17 Statistics Science Natural language processing Cybernetics Theoretical computer science Ensemble learning Supervised learning Support vector machine Statistical classification Machine learning Computational linguistics Artificial intelligence
397	Non-Parametric Policy Gradients: A Unified Treatment of Propositional and Relational Domains Kristian Kersting [removed] Dept. of Knowledge Discovery, Fraunhofer IAIS, Schloss Birlinghoven, 537 Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2008-05-02 08:01:38 Ensemble learning Operations research Reinforcement learning Gradient boosting Boosting Regression analysis Mathematical optimization Function Supervised learning Machine learning Mathematics Statistics
398	Journal of Japanese Society for Artificial Intelligence, 14(5):[removed], September, [removed]In Japanese, translation by Naoki Abe.) A Short Introduction to Boosting Yoav Freund Robert E. Schapire Add to Reading List Source URL: www.site.uottawa.ca Language: English - Date: 2003-02-24 21:24:34 Boosting Yoav Freund Decision stump Support vector machine Statistical classification Linear classifier BrownBoost Margin classifier Machine learning Ensemble learning AdaBoost
399	Journal of Machine Learning Research[removed]2368 Submitted 12/06; Revised 7/07; Published[removed]AdaBoost is Consistent Peter L. Bartlett Add to Reading List Source URL: jmlr.csail.mit.edu Language: English - Date: 2007-10-24 19:09:37 Learning Mathematics Continuous function Boosting Ensemble learning AdaBoost Artificial intelligence
400	Bagging Predictors By Leo Breiman* Add to Reading List Source URL: statistics.berkeley.edu Language: English - Date: 2014-03-15 03:15:37 Econometrics Regression analysis Ensemble learning Bootstrap aggregating Linear regression Decision tree learning Bootstrapping Cross-validation Leo Breiman Statistics Machine learning Computational statistics

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