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Bayesian network
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331	Reasoning about Complementary Intrusion Evidence∗ Yan Zhai, Peng Ning, Purush Iyer, Douglas S. Reeves Cyber Defense Laboratory Department of Computer Science North Carolina State University Raleigh, NC Add to Reading List Source URL: discovery.csc.ncsu.edu Language: English - Date: 2011-11-09 13:25:57 Computing Intrusion detection system Alert correlation Thresh Bayesian network Snort Intrusion detection system evasion techniques Computer network security Software System software
332	Application of a Bayesian Network in a GIS based Decision Making System A. Stassopoulou, M. Petrou & J. Kittler Dept. of Electronic and Electrical Engineering University of Surrey Guildford GU2 5XH, U.K. Add to Reading List Source URL: www.norsys.com Language: English - Date: 2014-05-01 10:28:53 Graphical models Probability theory Statistical models Networks Bayesian network Dempster–Shafer theory Geographic information system Probabilistic logic Prior probability Statistics Bayesian statistics Probability
333	Netica-J Reference Manual Add to Reading List Source URL: www.norsys.com Language: English - Date: 2012-02-12 21:34:52 Java Bayesian network Application programming interface Computing Cross-platform software Java platform
334	Lecture 31: Filtering Out Spam Lecture Notes on “Computer and Network Security” by Avi Kak () April 25, 2015 5:49pm Add to Reading List Source URL: engineering.purdue.edu Language: English - Date: 2015-04-25 17:52:48 Email filtering Mail delivery agent Procmail Message transfer agent Bayesian spam filtering Mail submission agent Spam Simple Mail Transfer Protocol Maildrop Email Computer-mediated communication Computing
335	Using Bayesian Classifiers to Combine Rules Jesse Davis, V´ıtor Santos Costa, Irene M. Ong, David Page and Inˆes Dutra Department of Biostatistics and Medical Informatics University of Madison-Wisconsin {jdavis, vitor Add to Reading List Source URL: pages.cs.wisc.edu Language: English - Date: 2005-06-28 13:28:34 Naive Bayes classifier Confidence interval Bayesian network Admissible decision rule Statistics Bayesian statistics Statistical classification
336	Bayesian network learning with cutting planes James Cussens Dept of Computer Science & York Centre for Complex Systems Analysis University of York, Deramore Lane, York, YO10 5GH, UK Add to Reading List Source URL: dslpitt.org Language: English - Date: 2011-09-21 23:06:45 Mathematics Combinatorial optimization Cutting-plane method Numerical software Linear programming relaxation SCIP Bayesian network Linear programming Mathematical optimization Operations research Numerical analysis
337	PDF Document Add to Reading List Source URL: www.taos-telecommunity.org Language: English - Date: 2008-03-04 16:18:09 Probability and statistics Machine learning Bayesian network Networks Probabilistic relational model Statistical classification Graphical model Clinical decision support system Naive Bayes classifier Statistics Bayesian statistics Statistical models
338	Journal of Artificial Intelligence Research591 Submitted 11/08; publishedOptimal Value of Information in Graphical Models Andreas Krause Add to Reading List Source URL: jair.org Language: English - Date: 2011-09-06 21:29:44 Bayesian statistics Statistical models Markov processes Graphical models Hidden Markov model Dynamic programming Bayesian network Static single assignment form Algorithm Statistics Mathematics Markov models
339	METIS: a Two-Tier Intrusion Detection System for Advanced Metering Infrastructures? Vincenzo Gulisano, Magnus Almgren, and Marina Papatriantafilou Chalmers University of Technology, Gothenburg, Sweden vinmas,almgren,ptri Add to Reading List Source URL: www.syssec-project.eu Language: English - Date: 2014-11-07 13:40:32 Text messaging Advantage 9 Metis Bayesian network Wireless Mobile technology Technology SMS
340	Cutset sampling for Bayesian networks Cutset sampling for Bayesian networks Bozhena Bidyuk Rina Dechter Add to Reading List Source URL: www.ics.uci.edu Language: English - Date: 2013-07-22 20:30:52 Graphical models Monte Carlo methods Bayesian statistics Probability theory Networks Decomposition method Bayesian network Markov random field Gibbs sampling Statistics Graph theory Probability and statistics

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