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Gaussian
Results: 2017

#	Item
91	Gaussian Process Regression Networks Andrew Gordon Wilson mlg.eng.cam.ac.uk/andrew University of Cambridge Add to Reading List Source URL: www.cs.cmu.edu - Date: 2014-09-11 09:47:07
92	Student-t Processes as Alternatives to Gaussian Processes Amar Shah University of Cambridge Andrew Gordon Wilson Add to Reading List Source URL: www.cs.cmu.edu - Date: 2014-09-11 09:47:10
93	Journal of Machine Learning Research2078 Submitted 8/07; Revised 4/08; PublishedApproximations for Binary Gaussian Process Classification Hannes Nickisch Add to Reading List Source URL: jmlr.csail.mit.edu - Date: 2008-10-08 18:55:09
94	Active Learning with Gaussian Processes for Object Categorization Ashish Kapoor Microsoft Research Redmond, WA 98052, USA Kristen Grauman Add to Reading List Source URL: people.csail.mit.edu - Date: 2007-08-21 07:34:21
95	Gaussian Process Kernels for Pattern Discovery and Extrapolation Supplementary Material Andrew Gordon Wilson and Ryan Prescott Adams 1 Add to Reading List Source URL: jmlr.org - Date: 2013-08-14 01:36:45
96	Chapter 1 Additive Gaussian Processes Section 1.7 showed how to learn the structure of a kernel by building it up piece-bypiece. This chapter presents an alternative approach: starting with many different types of struct Add to Reading List Source URL: raw.githubusercontent.com
97	Journal of Machine Learning Research–1704 Submitted 8/05; PublishedAssessing Approximate Inference for Binary Gaussian Process Classification Add to Reading List Source URL: www.jmlr.org - Date: 2005-10-02 10:31:59
98	Student-t Processes as Alternatives to Gaussian Processes Supplementary Material In Appendix 1, we provide proofs of Lemmas and Corollaries from our paper. We describe the derivatives of the log marginal likelihood of t Add to Reading List Source URL: www.cs.cmu.edu - Date: 2014-09-11 09:47:11
99	2016 IEEE 57th Annual Symposium on Foundations of Computer Science Approximate Gaussian Elimination for Laplacians – Fast, Sparse, and Simple Rasmus Kyng, Sushant Sachdeva Department of Computer Science Add to Reading List Source URL: ieee-focs.org - Date: 2016-10-06 00:33:48
100	Gaussian Random Number Generators DAVID B. THOMAS and WAYNE LUK 11 Imperial College Add to Reading List Source URL: www.doc.ic.ac.uk - Date: 2009-12-13 12:02:23

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