http://www.dsto.defence.gov.au/publications/2563/DSTO-TR-1436.pdf
http://www.isif.org/fusion/proceedings/fusion03CD/special/s31.pdf
http://uima.apache.org/downloads/releaseDocs/2.3.0-incubating/docs/pdf/tutorials_and_users_guides.pdf
http://www.autonlab.org/tutorials/bayesnet09.pdf
http://spiedl.aip.org/getabs/servlet/GetabsServlet?prog=normal&id=PSISDG004051000001000255000001&idtype=cvips&gifs=yes&ref=no
http://www2.research.att.com/~lunadong/publication/fusion_vldbTutorial.pdf
http://www.aaai.org/aitopics/pmwiki/pmwiki.php/AITopics/Uncertainty
http://www.cs.cmu.edu/afs/cs/academic/class/15381-s07/www/slides/032207probAndUncertainty.pdf
cox's theorem
http://www.britannica.com/bps/additionalcontent/18/35136768/Data-Fusion-for-Traffic-Incident-Detection-Using-DS-Evidence-Theory-with-Probabilistic-SVMs
http://data.semanticweb.org/workshop/ursw/2009/paper/main/5/html
http://portal.acm.org/citation.cfm?id=1698790.1698821
http://volgenau.gmu.edu/~klaskey/papers/LaskeyCostaJanssen_POFusion.pdf
http://www.slideshare.net/rommelnc/ursw-2009-probabilistic-ontology-and-knowledge-fusion-for-procurement-fraud-detection-in-brazil
http://www.eurecom.fr/~troncy/Publications/Troncy_Straccia-eswc06.pdf
http://www.glennshafer.com/assets/downloads/articles/article48.pdf
http://www.fusion2008.org/tutorials/tutorial05.pdf
http://www.google.com/url?sa=t&source=web&ct=res&cd=5&ved=0CCcQFjAE&url=http%3A%2F%2Fciteseerx.ist.psu.edu%2Fviewdoc%2Fdownload%3Fdoi%3D10.1.1.62.9835%26rep%3Drep1%26type%3Dpdf&rct=j&q=dempster+shafer+tutorial&ei=UprNS4m9K4P88Ab5v-GVAQ&usg=AFQjCNFUUt_xSeT2QOkrqYvsLySWOllqCw&sig2=RLqpJoODSs1kgLFK869Ikw
http://www.cs.cf.ac.uk/Dave/AI2/node87.html
http://www.autonlab.org/tutorials/bayesnet09.pdf
http://sinbad2.ujaen.es/sinbad2/files/publicaciones/186.pdf
http://www.ensieta.fr/belief2010/papers/p133.pdf
http://www.gimac.uma.es/ipmu08/proceedings/papers/057-MerigoCasanovas.pdf
http://www.sas.upenn.edu/~baron/journal/jdm7803.pdf
http://classifier4j.sourceforge.net/usage.html
http://sunsite.informatik.rwth-aachen.de/Publications/CEUR-WS/Vol-527/paper1.pdf
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