Gaussian - PDFSEARCH.IO - Document Search Engine

Gaussian
Results: 2017

#	Item
61	Identification and Estimation of Gaussian Affine Term Structure Models∗ James D. Hamilton † Add to Reading List Source URL: econweb.ucsd.edu Language: English - Date: 2012-01-13 12:54:43
62	Quantum non-Gaussianity of photons and phonons Radim Filip Palack´y University Olomouc We will present recent theoretical and experimental achievements in a direct diagnostics of nonclassical and quantum non-Gaussian st Add to Reading List Source URL: cewqo2017.dk - Date: 2017-06-24 19:05:17
63	A Globally Convergent Algorithm for MAP Estimation in the Linear Model with Non-Gaussian Priors K. Kreutz-Delgado ∗ ECE Department Univ. of California San Diego La Jolla, CA 92093 Add to Reading List Source URL: dsp.ucsd.edu Language: English - Date: 2010-10-10 22:51:20
64	Inferring Neural Firing Rates from Spike Trains Using Gaussian Processes John P. Cunningham1 , Byron M. Yu1,2,3 , Krishna V. Shenoy1,2 1 Department of Electrical Engineering, 2 Add to Reading List Source URL: users.ece.cmu.edu Language: English - Date: 2008-07-02 21:40:10
65	Large Scale Structure Learning of Conditional Gaussian Graphical Models Manzil Zaheer, Carlos Ram´ırez, Soumya Batra Carnegie Mellon University, Pittsburgh, PA 15213, USA Advised by: Mladen Kolar Booth School of Busin Add to Reading List Source URL: manzil.ml Language: English - Date: 2016-01-03 02:28:05
66	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
67	MITSUBISHI ELECTRIC RESEARCH LABORATORIES http://www.merl.com Battery State of Charge Estimation Based on Regular/Recurrent Gaussian Process Regression Sahinoglu, G.; Pajovic, M.; Sahinoglu, Z.; Wang, Y.; Orlik, P.V.; Wa Add to Reading List Source URL: www.merl.com - Date: 2017-11-07 13:05:56
68	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: www.cs.cornell.edu - Date: 2014-06-17 04:30:35
69	Improving FFT Frequency Measurement Resolution by Parabolic and Gaussian Interpolation Add to Reading List Source URL: cdsweb.cern.ch - Date: 2008-08-04 04:58:13
70	Efficient Inference in Fully Connected CRFs with Gaussian Edge Potentials ¨ Philipp Kr¨ahenbuhl Computer Science Department Add to Reading List Source URL: www.philkr.net - Date: 2017-10-06 12:46:13

UPDATE