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Bayesian network
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#	Item
91	Journal of Machine Learning Research2140 Submitted 3/09; Revised 6/10; Published 8/10 Importance Sampling for Continuous Time Bayesian Networks Yu Fan Add to Reading List Source URL: rlair.cs.ucr.edu Language: English - Date: 2011-01-19 19:25:14 Markov models Probability distributions Graphical models Monte Carlo methods Stochastic simulation Bayesian network Markov chain Importance sampling Gibbs sampling Exponential distribution Cumulative distribution function Variance
92	Genome Informatics 15(2): 141–Increasing Feasibility of Optimal Gene Network Estimation Add to Reading List Source URL: www.jsbi.org Language: English - Date: 2004-12-20 01:25:30 Analysis of algorithms Asymptotic analysis Big O notation Mathematical notation Dynamic programming Bayesian network Algorithm HeldKarp algorithm Expectationmaximization algorithm
93	Auxiliary Gibbs Sampling for Inference in Piecewise-Constant Conditional Intensity Models Zhen Qin University of California, Riverside Add to Reading List Source URL: rlair.cs.ucr.edu Language: English - Date: 2015-05-14 15:51:40 Markov processes Graph theory Markov chain Gibbs sampling Probability distribution Bayesian network Resampling Sampling
94	UNIVERSITY OF CALIFORNIA RIVERSIDE Multivariate Continuous-Time Models: Approximate Inference Algorithms and Medical Informatics Applications Add to Reading List Source URL: rlair.cs.ucr.edu Language: English - Date: 2016-03-21 12:22:45 Stochastic processes Graphical models Markov processes Bayesian network Networks Uniformization Probability distribution Algorithm Statistical inference Approximate inference Statistics Matrix
95	http://priml.upenn.edu PRιML Penn Research in Machine Learning School of Engineering & Applied Science \| The Wharton School Add to Reading List Source URL: www.seas.upenn.edu Language: English - Date: 2010-09-27 18:27:34 Michael Kearns Mohri Boosting Machine learning Bayesian network Robert Schapire Littmann Nonparametric statistics Ben Taskar
96	Genome Informatics 15(2): 131–Recovering Genetic Regulatory Networks from Micro-Array Data and Location Analysis Data Add to Reading List Source URL: www.jsbi.org Language: English - Date: 2004-12-20 01:22:45 Gene expression Networks Cybernetics Dimension reduction Feature selection Model selection Algorithm Gene regulatory network DNA microarray Bayesian network Regression analysis Machine learning
97	Finding DNA Regulatory Motifs with Positiondependent Models HuihaiWu University of Surrey, Guildford, United Kingdom Email: Prudence W.H. Wong, Mark X. Caddick and Chris Sibthorp Add to Reading List Source URL: cgi.csc.liv.ac.uk Language: English - Date: 2013-07-03 10:32:55 Bioinformatics Position weight matrix Sequence motif Multiple sequence alignment DNA binding site Gibbs sampling Bayesian network Sequence alignment
98	Bayesian Learning Using Automatic Relevance Determination Prior with an Application to Earthquake Early Warning Chang Kook Oh1; James L. Beck2; and Masumi Yamada3 Abstract: A novel method of Bayesian learning with automa Add to Reading List Source URL: www.eqh.dpri.kyoto-u.ac.jp Language: English - Date: 2010-06-15 00:37:08 Statistical theory Naive Bayes classifier Statistical classification Bayesian inference KullbackLeibler divergence Bayesian network
99	INVITED PAPER Dynamic and Succinct Statistical Analysis of Neuroscience Data Add to Reading List Source URL: coleman.ucsd.edu Language: English Statistical theory Artificial neural network Thorn Granger causality Bayesian inference Bayesian network Statistical inference Mutual information Linear regression KullbackLeibler divergence Causality Statistics
100	ISSN No: International Journal & Magazine of Engineering, Technology, Management and Research A Peer Reviewed Open Access International Journal Add to Reading List Source URL: www.ijmetmr.com Language: English - Date: 2015-07-06 14:15:10 Cyberwarfare Computer network security Cybercrime National security Mobile Malware Botnet Malware Peer-to-peer Bayesian network Cabir Computer security Delay-tolerant networking

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