david l dowe sgwtgbwmhinfotechmonasheduau dear cher robert hi et salut done work generalised bayesian belief networks permit mix continuous numeric discrete symbolic categorical variables work also permits variable node decision tree function ancestral variables nodes work done later 2003 published following two papers comley dowe 2003 comley dowe mit press 2005 inproceedingscomleydowe2003 author comley joshua w david l dowe title generalised bayesian networks asymmetric languages year 2003 booktitleproc hawaii international conference statistics related fields month58 june wwwcssemonasheduaudlddaviddowepublicationshtmlcomleydowe2003 inproceedingscomleydowe2005 authorjoshua w comley david l dowe titleminimum message length generalized bayesian nets asymmetric languages booktitleadvances minimum description length theory applications year2005 editorp grunwald pitt j myung month april pages 265294 publishermit press organization notechapter 11 isbn 0262072629 final cameraready copy submitted october 2003 wwwcssemonasheduaudlddaviddowepublicationshtmlcomleydowe2005 work uses minimum message length mml principle dates back wallace boulton 1968 good reading mml computer journals downloaded article wallace cs dl dowe 1999a minimum message length kolmogorov complexity computer journal vol 42 4 pp270283 references two comley dowe papers josh comley set work wanted move direction general possible indeed relation referred wallace dowe 1999a immediately mml kolmogorov complexity expressibility universal turing machine suggested good right framework yes agree effects generality tends efficiency case youre interested even best read mml please see mml book chris wallace wallace cs 2005 statistical inductive inference minimum message length springer series information science statistics 2005 xvi 432 pp 22 illus hardcover isbn 038723795x wwwcssemonasheduaudldcswallacepublicationsindexhtmlcswallacemmlbook hope feedback helps best wishes sincerely david sun jun 04 2006 055803pm 0600 robert dodier wrote hello wonder someone comment status inference belief networks probabilities numerical values others symbolic values values given symbolic expressions aware work allow conditional distributions discrete discrete gaussian symbolic well numerical recently web search searched uai mailing list archives came empty handed interest construct belief networks conditional distributions specified name expression telling pdf cdf parameters might specified symbols symbolic expressions posterior distributions general also symbolic expressions idea compute posterior distributions via computer algebra system formulating evaluating integrals needed wellknown classes distributions much efficient solutions im looking greater generality expense efficiency comments much appreciated best robert dodier uai mailing list thu 07 aug 2008 162233 1000 uai current status mixed symbolic numeric belief net inference