Stochastic simulation

Results: 239



#Item
21Journal of Machine Learning Research2140  Submitted 3/09; Revised 6/10; Published 8/10 Importance Sampling for Continuous Time Bayesian Networks Yu Fan

Journal of Machine Learning Research2140 Submitted 3/09; Revised 6/10; Published 8/10 Importance Sampling for Continuous Time Bayesian Networks Yu Fan

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Source URL: rlair.cs.ucr.edu

Language: English - Date: 2011-01-19 19:25:14
22Fizz and gas reservoir differentiation based on stochastic inversion Xin-gang Chi and De-hua Han Department of Geosciences, University of Houston AVO attributes of gradient and intercept are related to the reservoir prop

Fizz and gas reservoir differentiation based on stochastic inversion Xin-gang Chi and De-hua Han Department of Geosciences, University of Houston AVO attributes of gradient and intercept are related to the reservoir prop

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Source URL: www.rpl.uh.edu

Language: English - Date: 2008-12-09 16:10:41
23UNIVERSITY OF CALIFORNIA RIVERSIDE Continuous Time Bayesian Network Approximate Inference and Social Network Applications

UNIVERSITY OF CALIFORNIA RIVERSIDE Continuous Time Bayesian Network Approximate Inference and Social Network Applications

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Source URL: rlair.cs.ucr.edu

Language: English - Date: 2011-01-19 19:25:15
24Eur. Phys. J. Special Topics 224, 2409–) © EDP Sciences, Springer-Verlag 2015 DOI: epjst/e2015THE EUROPEAN PHYSICAL JOURNAL

Eur. Phys. J. Special Topics 224, 2409–) © EDP Sciences, Springer-Verlag 2015 DOI: epjst/e2015THE EUROPEAN PHYSICAL JOURNAL

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Source URL: comp-phys.univie.ac.at

Language: English - Date: 2015-09-23 02:32:54
25Real-Time Implementation and Hardware Testing of a Hybrid Vehicle Energy Management Controller Based on Stochastic Dynamic Programming Daniel F. Opila Xiaoyong Wang Graduate Research Assistant

Real-Time Implementation and Hardware Testing of a Hybrid Vehicle Energy Management Controller Based on Stochastic Dynamic Programming Daniel F. Opila Xiaoyong Wang Graduate Research Assistant

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Source URL: web.eecs.umich.edu

Language: English - Date: 2016-04-25 13:15:13
26Microsoft Word - Simpath QR10-v13.doc

Microsoft Word - Simpath QR10-v13.doc

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Source URL: www.qrg.northwestern.edu

Language: English - Date: 2010-08-26 18:38:05
27MITSUBISHI ELECTRIC RESEARCH LABORATORIES http://www.merl.com Particle Filtering for Online Motion Planning with Task Specifications Berntorp, K.; Di Cairano, S.

MITSUBISHI ELECTRIC RESEARCH LABORATORIES http://www.merl.com Particle Filtering for Online Motion Planning with Task Specifications Berntorp, K.; Di Cairano, S.

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Source URL: www.merl.com

Language: English - Date: 2016-07-07 10:22:15
28Inference, Models and Simulation for Complex Systems Lectures 8 and 9 Prof. Aaron Clauset 1

Inference, Models and Simulation for Complex Systems Lectures 8 and 9 Prof. Aaron Clauset 1

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Source URL: tuvalu.santafe.edu

Language: English - Date: 2011-09-29 19:22:25
29Maximally uniform sequences from stochastic processes Miller Puckette University of California, San Diego   Abstract

Maximally uniform sequences from stochastic processes Miller Puckette University of California, San Diego Abstract

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Source URL: msp.ucsd.edu

Language: English - Date: 2016-07-05 13:31:02
30Multil-level Weiner-Hopf Monte-Carlo simulation for Lévy processes

Multil-level Weiner-Hopf Monte-Carlo simulation for Lévy processes

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Source URL: www.ccfz.ch

Language: English - Date: 2012-09-16 09:45:23