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Machine learning
Results: 10129

#	Item
401	Journal of Machine Learning ResearchSubmitted 2/16; Revised 7/16; Published 9/16 A Variational Approach to Path Estimation and Parameter Inference of Hidden Diffusion Processes Add to Reading List Source URL: arxiv.org - Date: 2016-10-25 21:38:22
402	Bright Cluster Manager 7.3 Machine Learning Manual Revision: 7910 Date: Mon, 12 Dec 2016 Add to Reading List Source URL: support.brightcomputing.com - Date: 2016-12-17 14:31:24
403	MXNet: A Flexible and Efficient Machine Learning Library for Heterogeneous Distributed Systems Tianqi Chen, Mu Li∗, U. Washington CMU Tianjun Xiao, Add to Reading List Source URL: pdfs.semanticscholar.org - Date: 2015-12-07 13:44:50
404	Journal of Machine Learning Research Submitted 12/01; PublishedLyapunov Design for Safe Reinforcement Learning Theodore J. Perkins Add to Reading List Source URL: lukemuehlhauser.com - Date: 2014-06-15 14:32:02
405	Automatic Text Summarization using a Machine Learning Approach Joel Larocca Neto Alex A. Freitas Add to Reading List Source URL: www.cs.kent.ac.uk - Date: 2002-07-30 04:12:44
406	Journal of Machine Learning Research3186 Submitted 9/10; Revised 5/11; PublishedAdaptive Exact Inference in Graphical Models ¨ ur Add to Reading List Source URL: www.jmlr.org - Date: 2011-11-10 14:09:17
407	Universal Algorithms for Machine Learning Wolfgang Dahmen, RWTH Aachen This talk draws on joint work with A. Barron, P. Binev, A. Cohen and R. DeVore. In the context of supervised learning it is mainly concerned with est Add to Reading List Source URL: math.nyu.edu - Date: 2006-11-05 17:29:36
408	Examples of Bayesian Statistical Thinking in Neuroscience Rob E. Kass Department of Statistics, Machine Learning Department, and Center for the Neural Basis of Cognition Carnegie Mellon University Add to Reading List Source URL: www.icts.uci.edu - Date: 2015-03-09 19:18:28
409	Abstract of “Discriminative Methods for Label Sequence Learning” by Yasemin Altun, Ph.D., Brown University, MayDiscriminative learning framework is one of the very successful fields of machine learning. The me Add to Reading List Source URL: ttic.uchicago.edu - Date: 2006-02-21 13:28:02
410	Embedding machine learning in formal stochastic models of biological processes Jane Hillston School of Informatics, University of Edinburgh 29th October 2014 Add to Reading List Source URL: homepages.inf.ed.ac.uk - Date: 2014-10-31 12:53:11

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