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Network theory
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#	Item
661	mTunes: Efficient Post-Silicon Tuning of Mixed-Signal/RF Integrated Circuits Based on Markov Decision Process Manzil Zaheer and Fa Wang Chenjie Gu Add to Reading List Source URL: manzil.ml Language: English - Date: 2016-01-03 02:26:38 Markov models Markov processes Probability theory Applied mathematics Statistics Receiver Dynamic programming Markov decision process Stochastic control Tuner Artificial neural network Tuning
662	Course Description: Bayesian methodology and (Markov chain) Monte Carlo simulation for financial applications 3 ECTS Professor Antonietta Mira Add to Reading List Source URL: www.istfin.eco.usi.ch Language: English - Date: 2014-06-16 09:49:33 Statistics Statistical theory Monte Carlo methods Markov models Markov chain Monte Carlo Computational statistics Statistical mechanics Bayesian network Bayesian inference Approximate Bayesian computation Bayesian statistics MetropolisHastings algorithm
663	Uncertain<T>: A First-Order Type for Uncertain Data Add to Reading List Source URL: www.cs.utexas.edu Language: English - Date: 2014-01-10 00:11:41 Statistics Statistical theory Statistical inference Bayesian statistics Statistical models Measurement Bayesian network Probability distribution Bayesian inference Normal distribution Global Positioning System Confidence interval
664	Regularized estimation of image statistics by Score Matching Diederik P. Kingma Department of Information and Computing Sciences Universiteit Utrecht Add to Reading List Source URL: dpkingma.com Language: English - Date: 2013-03-10 05:45:50 Machine learning Statistical models Signal processing Statistical theory Estimation theory Maximum likelihood estimation Artificial neural network Independent component analysis Pattern recognition Mixture model
665	Social Learning Strategies Reconcile the Relationship Between Network Structure and Collective Problem Solving Daniel Barkoczi Mirta Galesic Add to Reading List Source URL: www.santafe.edu Language: English - Date: 2015-12-23 15:13:18 Game theory Outcome Strategic management Peyton Young Genetic algorithm
666	ZU064-05-FPR article 9 January 2015 Add to Reading List Source URL: arxiv.org Language: English - Date: 2015-01-08 20:22:14 Graph theory Mathematics Network theory Networks Algebraic graph theory Network analysis Community structure Modularity Clique Graph Centrality Network science
667	Vida: How to use Bayesian inference to de-anonymize persistent communications George Danezis1 and Carmela Troncoso2 1 2 Add to Reading List Source URL: www0.cs.ucl.ac.uk Language: English - Date: 2013-10-10 06:48:53 Statistics Statistical theory Probability Probability distributions Statistical inference IP Bayesian inference Gibbs sampling Markov chain Binomial distribution Bayesian network
668	IEEE TRANSACTIONS ON INFORMATION THEORY, VOL. 61, NO. 9, SEPTEMBERCapacity Approximations for Gaussian Relay Networks Add to Reading List Source URL: isl.stanford.edu Language: English - Date: 2016-02-22 13:35:55 Information theory Data transmission Information Telecommunications engineering Additive white Gaussian noise Channel capacity Channel Linear network coding MIMO Quantization Relay channel Cooperative diversity
669	On the Relationship between Sum-Product Networks and Bayesian Networks Han Zhao HAN . ZHAO @ UWATERLOO . CA Mazen Melibari MMELIBAR @ UWATERLOO . CA Add to Reading List Source URL: jmlr.org Language: English - Date: 2015-09-16 19:38:50 Graphical models Statistical models Probability theory Bayesian network Networks Variable elimination Markov random field
670	Towards an Intelligent Network for Matching Offer and Demand: from the sharing economy to the Global Brain Francis Heylighen Global Brain Institute Vrije Universiteit Brussel Add to Reading List Source URL: pcp.vub.ac.be Language: English - Date: 2016-01-05 09:11:36 Artificial intelligence Systems science Superorganisms Systems theory Technology Cybernetics Francis Heylighen Global brain Intelligent agent Internet Ephemeralization Collective intelligence

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