http://www.bibsonomy.org/rss/tag/BayesianBibSonomy RSS Feed for /tag/BayesianThe &#034;International Journal of Critical Computer-Based Systems&#034; (IJCCBS) is a quarterly research journal by Inderscience Publishers. It focuses on engineering and verification of complex computer-based systems (where complex means large, distributed and heterogeneous) in critical applications, with special emphasis on model-based approaches and industrial case-studies. Critical computer-based systems include real-time control, fly/brake-by-wire, on-line transactional and web servers, biomedical apparels, networked devices for telecommunications, environmental monitoring, infrastructure protection, etc.http://www.inderscience.com/ijccbsflamminifra2008-07-09T13:51:25+02:00repairable reliability infrastructures high-integrity planes majority apparels safety-critical nuclear bayesian systems plants rejuvination fault-injection real-time electrical software computer trees fault-tolerance dependability formal markov installations RAMS monitoring transactional server fault high-assurance multi-paradigm prognostic protection evaluation large heterogeneous brake-by-wire maintainability safety diagnostic engineering shuttle chains telecommunication fly-by-wire voters diversity money-critical complexity railway design automatic biomedical modeling testing petri verification deadlock high-availability methods chemical development watchdog life-critical security tran control satellite uml diagrams validation theorem-proving multi-formalism model-checking n-modular-redundancy automotive space prevention missile mission-critical devices networks nets distributed block and military The &#034;International Journal of Critical Computer-Based Systems&#034; (IJCCBS) is a quarterly research journal by Inderscience Publishers. It focuses on engineeri<span class="info">...<span>The &#034;International Journal of Critical Computer-Based Systems&#034; (IJCCBS) is a quarterly research journal by Inderscience Publishers. It focuses on engineering and verification of complex computer-based systems (where complex means large, distributed and heterogeneous) in critical applications, with special emphasis on model-based approaches and industrial case-studies. Critical computer-based systems include real-time control, fly/brake-by-wire, on-line transactional and web servers, biomedical apparels, networked devices for telecommunications, environmental monitoring, infrastructure protection, etc.</span></span>Unsupervised Document Classification and Supervised Document Classificationhttp://isp.imm.dtu.dk/thor/projects/multimedia/textmining/node11.htmlfmeyer2008-06-22T20:28:52+02:00ai document datamining bayesian clustering classification Unsupervised Document Classification and Supervised Document ClassificationThis project contains Naive and Fishers bayesian classifiers, as described in Toby Segaran&#039;s book &#034;Programming Collective Intelligence.&#034; The book has python implementations; this is a Java implementation.https://ci-bayes.dev.java.net/fmeyer2008-06-21T17:18:35+02:00classifier java algorithms bayesian bayes datamining classification framework library ai This project contains Naive and Fishers bayesian classifiers, as described in Toby Segaran&#039;s book &#034;Programming Collective Intelligence.&#034; The book has pytho<span class="info">...<span>This project contains Naive and Fishers bayesian classifiers, as described in Toby Segaran&#039;s book &#034;Programming Collective Intelligence.&#034; The book has python implementations; this is a Java implementation.</span></span>ci-bayes, a project hosted on java.net, has released its first stable version. ci-bayes allows the use of a classifier to determine what classification a given object might fall into, given prior training, and provides multiplehttp://www.theserverside.com/news/thread.tss?thread_id=49773fmeyer2008-06-21T17:17:44+02:00classification bayesian classifier java ci-bayes, a project hosted on java.net, has released its first stable version. ci-bayes allows the use of a classifier to determine what classification a g<span class="info">...<span>ci-bayes, a project hosted on java.net, has released its first stable version. ci-bayes allows the use of a classifier to determine what classification a given object might fall into, given prior training, and provides multiple</span></span>In analyzing my data I wanted to classify it with a naive Bayesian classifier. I wasn&#039;t sure I had the math right, so I wrote a tiny abstract classifier to test with. The code is pretty cool:http://funcall.blogspot.com/2007/08/naive-bayesian-classifier.htmlfmeyer2008-05-27T15:42:40+02:00scheme bayesian source lisp programming ai In analyzing my data I wanted to classify it with a naive Bayesian classifier. I wasn&#039;t sure I had the math right, so I wrote a tiny abstract classifier to<span class="info">...<span>In analyzing my data I wanted to classify it with a naive Bayesian classifier. I wasn&#039;t sure I had the math right, so I wrote a tiny abstract classifier to test with. The code is pretty cool:</span></span>author: Ole Winther, Technical University of Denmarkhttp://videolectures.net/abi07_winther_lsb/wnpxrz2008-05-19T17:50:27+02:00video inference filtering collaborative bayesian author: Ole Winther, Technical University of DenmarkBy Christopher M. Bishop @ SIAM&#039;04http://www.siam.org/meetings/sdm04/files/Keynote_Bishop.pdfmarcoalvarez2008-05-14T09:54:44+02:00GaussianMixtures Bayesian LDA RVM Tutorial By Christopher M. Bishop @ SIAM&#039;04By Aaron Hertzmann @ SIGGRAPH&#039;04http://www.dgp.utoronto.ca/~hertzman/ibl2004/bayes2004.pdfmarcoalvarez2008-05-14T09:46:27+02:00Bayesian Tutorial By Aaron Hertzmann @ SIGGRAPH&#039;04By Ann E. Nicholson and Kevin B. Korbhttp://www.csse.monash.edu.au/bai/tutorial/BOMJuly06.pdfmarcoalvarez2008-05-14T09:45:37+02:00Tutorial Bayesian By Ann E. Nicholson and Kevin B. Korbhttp://www.marketing.uni-frankfurt.de/index.php?id=182karinnadrowski2008-05-08T16:03:05+02:00marketing bayesian http://www.pr-owl.org/wnpxrz2008-02-14T08:12:45+01:00owl ontology proj:o4p bayesian http://ieeexplore.ieee.org/Xplore/login.jsp?url=/iel5/10469/33216/01565582.pdf?isnumber=33216&amp;prod=CNF&amp;arnumber=1565582&amp;arSt=+455&amp;ared=+458&amp;arAuthor=Butz%2C+C.J.%3B+Fang%2C+F.wnpxrz2008-01-12T14:52:34+01:00bayesian Incorporating Evidence in Bayesian Networks with the Select Operator - all 4 versions » CJ Butz, F Fang - Advances in Artificial Intelligence: 18th Conference of the …, 2005 - books.google.comhttp://books.google.com/books?hl=en&amp;lr=&amp;id=89HcSxVv_YsC&amp;oi=fnd&amp;pg=PA297&amp;dq=Incorporating+Evidence+in+Bayesian+Networks+with+the+Select+Operator&amp;ots=KNW9N8-QAT&amp;sig=F0G-oVeEgxrOqFDhbQTwuB0l4qUwnpxrz2008-01-12T14:52:14+01:00bayesian Incorporating Evidence in Bayesian Networks with the Select Operator - all 4 versions » CJ Butz, F Fang - Advances in Artificial Intelligence: 18th Confer<span class="info">...<span>Incorporating Evidence in Bayesian Networks with the Select Operator - all 4 versions » CJ Butz, F Fang - Advances in Artificial Intelligence: 18th Conference of the …, 2005 - books.google.com</span></span>http://www.cs.ubc.ca/~murphyk/Bayes/bnintro.htmlwnpxrz2008-01-12T12:58:58+01:00introduction proj:o4p bayesian toread tutorial http://www.cs.ubc.ca/~murphyk/Bayes/bnsoft.htmlwnpxrz2008-01-12T12:27:09+01:00bayesian proj:o4p software http://research.microsoft.com/~heckerman/wnpxrz2007-12-31T20:47:37+01:00bayesian http://www.mrc-bsu.cam.ac.uk/bugs/wnpxrz2007-12-31T20:24:35+01:00bayesian sampling gibbs software http://en.wikipedia.org/wiki/Bayesian_networkwnpxrz2007-12-31T20:23:56+01:00wikipedia bayesian http://www.cs.cmu.edu/~fgcozman/Research/InterchangeFormat/Old/xmlbif02.htmlwnpxrz2007-12-31T20:22:28+01:00bayesian network file interchange format http://www.norsys.com/wnpxrz2007-12-31T20:21:49+01:00company bayesian software network