<?xml version="1.0" encoding="UTF-8"?>
<posts update='2008-07-20 10:41:07' user=""><post 
   href="http://www.inderscience.com/ijccbs" 
   description="International Journal of Critical Computer-Based Systems" 
   
     extended="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." 
   
   hash="ddd0ab3c9938ff54845a9abe31c955d0"
   user="flamminifra"
   tag="RAMS and apparels automatic automotive bayesian biomedical block brake-by-wire chains chemical complexity computer control deadlock dependability design development devices diagnostic diagrams distributed diversity electrical engineering evaluation fault fault-injection fault-tolerance fly-by-wire formal heterogeneous high-assurance high-availability high-integrity infrastructures installations large life-critical maintainability majority markov methods military missile mission-critical model-checking modeling money-critical monitoring multi-formalism multi-paradigm n-modular-redundancy nets networks nuclear petri planes plants prevention prognostic protection railway real-time rejuvination reliability repairable safety safety-critical satellite security server shuttle software space systems telecommunication testing theorem-proving tran transactional trees uml validation verification voters watchdog "
   time="2008-07-09T13:51:25+0200" />
<post 
   href="http://isp.imm.dtu.dk/thor/projects/multimedia/textmining/node11.html" 
   description="Introduction: Document Classification" 
   
     extended="Unsupervised Document Classification and Supervised Document Classification" 
   
   hash="c2f544d13bae6be12e9b2a5a73aa31f5"
   user="fmeyer"
   tag="ai bayesian classification clustering datamining document "
   time="2008-06-22T20:28:52+0200" />
<post 
   href="https://ci-bayes.dev.java.net/" 
   description="ci-bayes: Home" 
   
     extended="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." 
   
   hash="96f48b77a44538b07f2a51fdb14286fd"
   user="fmeyer"
   tag="ai algorithms bayes bayesian classification classifier datamining framework java library "
   time="2008-06-21T17:18:35+0200" />
<post 
   href="http://www.theserverside.com/news/thread.tss?thread_id=49773" 
   description="Java Bayesian Classifier ci-bayes 1.0 released" 
   
     extended="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" 
   
   hash="df6626290ffe39971da3c51072cc604d"
   user="fmeyer"
   tag="bayesian classification classifier java "
   time="2008-06-21T17:17:44+0200" />
<post 
   href="http://funcall.blogspot.com/2007/08/naive-bayesian-classifier.html" 
   description="Abstract Heresies: Naive Bayesian Classifier" 
   
     extended="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:" 
   
   hash="59d16143bc1a49e9b3e72247868dc82e"
   user="fmeyer"
   tag="ai bayesian lisp programming scheme source "
   time="2008-05-27T15:42:40+0200" />
<post 
   href="http://videolectures.net/abi07_winther_lsb/" 
   description="Large-scale Bayesian Inference for Collaborative Filtering" 
   
     extended="author: Ole Winther, Technical University of Denmark" 
   
   hash="075167cac7e23d6d98ddf6751caeb10c"
   user="wnpxrz"
   tag="bayesian collaborative filtering inference video "
   time="2008-05-19T17:50:27+0200" />
<post 
   href="http://www.siam.org/meetings/sdm04/files/Keynote_Bishop.pdf" 
   description="Recent Advances in Bayesian Inference Techniques" 
   
     extended="By Christopher M. Bishop @ SIAM&#039;04" 
   
   hash="924bef793a57a4800be7a00b3b80d42b"
   user="marcoalvarez"
   tag="Bayesian GaussianMixtures LDA RVM Tutorial "
   time="2008-05-14T09:54:44+0200" />
<post 
   href="http://www.dgp.utoronto.ca/~hertzman/ibl2004/bayes2004.pdf" 
   description="Introduction to Bayesian Learning" 
   
     extended="By Aaron Hertzmann @ SIGGRAPH&#039;04" 
   
   hash="0a1edb76bbbbb39e88b3450019ab3f2e"
   user="marcoalvarez"
   tag="Bayesian Tutorial "
   time="2008-05-14T09:46:27+0200" />
<post 
   href="http://www.csse.monash.edu.au/bai/tutorial/BOMJuly06.pdf" 
   description="Bayesian AI Tutorial" 
   
     extended="By Ann E. Nicholson and Kevin B. Korb" 
   
   hash="283c95e0593078d3b400a76ac726f6d7"
   user="marcoalvarez"
   tag="Bayesian Tutorial "
   time="2008-05-14T09:45:37+0200" />
<post 
   href="http://www.marketing.uni-frankfurt.de/index.php?id=182" 
   description="Schwerpunkt Marketing - Uni Frankfurt: Prof. Dr. Thomas Otter" 
   
   hash="c15348460234d68c257faac0294c06c2"
   user="karinnadrowski"
   tag="bayesian marketing "
   time="2008-05-08T16:03:05+0200" />
</posts>
