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Gaussian process
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#	Item
1	Self-reﬂective Multi-task Gaussian Process Kohei Hayashi1 , Takashi Takenouchi1 , Ryota Tomioka2 , Hisashi Kashima2 1 Graduate School of Information Science Nara Institute of Science and Technology Add to Reading List Source URL: clopinet.com Language: English - Date: 2011-07-01 14:46:36
2	A tutorial on Newton methods for constrained trajectory optimization and relations to SLAM, Gaussian Process smoothing, optimal control, and probabilistic inference Marc Toussaint March 9, 2017 Add to Reading List Source URL: ipvs.informatik.uni-stuttgart.de Language: English - Date: 2017-10-30 12:23:26
3	UCSD MAE280a final solutionsQ.1: A discrete-time Gaussian process vk is a random vector function of the timestep k such that the probability density function of vk is given by Add to Reading List Source URL: renaissance.ucsd.edu Language: English - Date: 2009-12-20 23:27:54
4	Scalable Log Determinants for Gaussian Process Kernel Learning David 1 Eriksson Add to Reading List Source URL: hannes.nickisch.org Language: English - Date: 2017-11-29 13:45:19
5	Gaussian Process Latent Random Field Add to Reading List Source URL: cs.nju.edu.cn Language: English - Date: 2015-12-14 04:04:39
6	Hierarchical Double Dirichlet Process Mixture of Gaussian Processes Aditya Tayal and Pascal Poupart and Yuying Li {amtayal, ppoupart, yuying}@uwaterloo.ca Cheriton School of Computer Science University of Waterloo Waterl Add to Reading List Source URL: cs.uwaterloo.ca Language: English - Date: 2012-05-23 12:16:46
7	A Gaussian Process Model for Knowledge Propagation in Web Ontologies Pasquale Minervini, Claudia d’Amato, Nicola Fanizzi, Floriana Esposito Department of Computer Science - Universit`a degli Studi di Bari Aldo Moro, It Add to Reading List Source URL: neuralnoise.com Language: English - Date: 2018-02-02 12:07:29
8	Gaussian-Stick Breaking Process Manzil Zaheer Machine Learning Department Add to Reading List Source URL: manzil.ml Language: English - Date: 2016-01-03 02:27:38
9	Sparse Gaussian Process Regression for Compliant, Real-Time Robot Control Jens Schreiter1 , Peter Englert2 , Duy Nguyen-Tuong1 , Marc Toussaint2 Abstract— Sparse Gaussian process (GP) models provide an efficient way to Add to Reading List Source URL: ipvs.informatik.uni-stuttgart.de Language: English - Date: 2017-10-30 12:23:26
10	Modeling High-Dimensional Humans for Activity Anticipation using Gaussian Process Latent CRFs Yun Jiang and Ashutosh Saxena Department of Computer Science, Cornell University, USA. Email:{yunjiang,asaxena}@cs.cornell.edu Add to Reading List Source URL: pr.cs.cornell.edu - Date: 2014-07-09 12:46:11