\nMountain West Ruby Conference: SBN
\n16 March 2007\n<\/p>\n
\nCarl Youngblood. Simple Bayesian Networks with Ruby.\n<\/p>\n
How do we handle uncertainty? Probablilty theory.
\nHow do we come up with probabilities? From experience, from beliefs — but either of these may not be accurate because of too few samples or skewed samples.\n<\/p>\n
\n \nThe Ruby version is faster than his C++ version. Premature optimization is the root of all evil. — Donald Knuth\n<\/p>\n \nxmlbif – the format that the bayes network is stored to and read from. Compatible with the Java Bayes package. See http:\/\/en.wikipedia.org\/wiki\/Bayesian_network\n<\/p>\n \nHe couldn’t get his SBN demonstration program working as expected. Sounds like SBN isn’t ready for prime time. Future improvements:<\/p>\n \nhttp:\/\/www.pixelglow.com\/macstl\/\n<\/p>\n \nQ: Why not do this in R, and connect R to Ruby? \nI think it would be cool if someone showed how to connect SBN into CruiseControl.rb<\/a> to identify what patterns of development and which developers are most likely to break a build.<\/p>\n","protected":false},"excerpt":{"rendered":" Mountain West Ruby Conference: SBN 16 March 2007 Carl Youngblood. Simple Bayesian Networks with Ruby. How do we handle uncertainty? Probablilty theory. How do we come up with probabilities? From experience, from beliefs — but either of these may not be accurate because of too few samples or skewed samples. gem install sbn The Ruby … <\/p>\n
\ngem install sbn
\n<\/code>\n<\/p>\n\n
\nA: Good idea.\n<\/p>\n