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Machine learning
Results: 10129

#	Item
361	Journal of Machine Learning Research–163 Submitted 1/04; Published 1/05 Diffusion Kernels on Statistical Manifolds John Lafferty Add to Reading List Source URL: www.jmlr.org - Date: 2005-01-12 23:00:31
362	Poster: (Semi)-Supervised Machine Learning Approaches for Network Security in High-Dimensional Network Data Pedro Casas (1)∗ , Alessandro D’Alconzo (1), Giuseppe Settanni (1), Pierdomenico Fiadino (2), Florian Skopik Add to Reading List Source URL: www.flosko.at - Date: 2016-10-01 10:24:48
363	Journal of Machine Learning Research1129 Submitted 3/08; Revised 11/08; Published 5/09 Universal Kernel-Based Learning with Applications to Regular Languages Add to Reading List Source URL: www.jmlr.org - Date: 2009-12-14 18:57:50
364	Journal of Machine Learning Research2633 Submitted 3/10; Revised 8/10; PublishedStochastic Composite Likelihood Joshua V. Dillon Add to Reading List Source URL: www.jmlr.org - Date: 2010-11-04 12:08:15
365	R Foundations and Trends in Machine Learning Vol. 1, Nos. 1––305 c 2008 M. J. Wainwright and M. I. Jordan Add to Reading List Source URL: people.eecs.berkeley.edu - Date: 2009-01-22 11:02:00
366	Course Logistics and Introduction to Machine Learning Piyush Rai Machine Learning (CS771A) July 28, 2016 Add to Reading List Source URL: cse.iitk.ac.in - Date: 2016-09-08 06:15:35
367	Data Science in Service of Performing Arts: Applying Machine Learning to Predicting Audience Preferences Jake Abernethy Cyrus Anderson Add to Reading List Source URL: mdst.eecs.umich.edu - Date: 2016-11-01 15:55:54
368	FMP/Thesis First Draft Proposal Title: How can the themes of Database/Soft Cinema and the recent developments in machine learning with recurrent neural networks be combined to form new kinds of narrative? Field of St Add to Reading List Source URL: dl.dropboxusercontent.com
369	Linear Dimensionality Reduction: Principal Component Analysis Piyush Rai Machine Learning (CS771A) Sept 2, 2016 Add to Reading List Source URL: cse.iitk.ac.in - Date: 2016-09-03 04:33:30
370	2016 IEEE INTERNATIONAL WORKSHOP ON MACHINE LEARNING FOR SIGNAL PROCESSING, SEPT. 13–16, 2016, SALERNO, ITALY SCORE-MATCHING ESTIMATORS FOR CONTINUOUS-TIME POINT-PROCESS REGRESSION MODELS Maneesh Sahani, Gerg˝o Bohne Add to Reading List Source URL: www.gatsby.ucl.ac.uk - Date: 2016-08-10 04:42:04

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