@techreport{citeulike:142938,
	title = {A tutorial on learning with bayesian networks},
	address = {Redmond, Washington},
	author = {D. Heckerman},
	institution = {Microsoft Research},
	url = {http://citeseer.ist.psu.edu/41127.html},
	year = {\# 1995},
	biburl = {http://www.bibsonomy.org/bibtex/2b9b2b0573b14988138ce39d6f829ba2f/pprett},
	abstract = {A Bayesian network is a graphical model that encodes probabilistic relationships among variables of interest. When used in conjunction with statistical techniques, the graphical model has several advantages for data analysis. One, because the model encodes dependencies among all variables, it readily handles situations where some data entries are missing. Two, a Bayesian network can be used to learn causal relationships, and hence can be used to gain understanding about a problem domain and to...},
	posted-at = {2007-11-18 14:31:53}, priority = {0}, citeulike-article-id = {142938}, comment = {at least partially...},
	keywords = {bayesian, learning, machine, networks, probabilistic }
}

@inproceedings{Dumais98inductive,
	title = { Inductive learning algorithms and representations
  for text categorization },
	author = {Susan Dumais and John Platt and David Heckerman and Mehran Sahami},
	booktitle = { Proceedings of the seventh international conference
  on Information and knowledge management },
	pages = { 148--155 },
	publisher = { ACM Press },
	year = { 1998 },
	biburl = {http://www.bibsonomy.org/bibtex/21e70862e83c3e906f80140b329773894/mgrani},
	location = { Bethesda, Maryland, United States }, isbn = { 1-58113-061-9 },
	keywords = {imported }
}

@inproceedings{Breese'98,
	title = {Empirical Analysis of Predictive Algorithms for Collaborative
               Filtering.},
	author = {John S. Breese and David Heckerman and Carl Myers Kadie},
	booktitle = {UAI},
	crossref = {DBLP:conf/uai/1998},
	editor = {Gregory F. Cooper and Seraf\'{\i}n Moral},
	pages = {43-52},
	publisher = {Morgan Kaufmann},
	year = {1998},
	biburl = {http://www.bibsonomy.org/bibtex/22a3f0b78b81742a7e909d916976a3889/mumas},
	description = {Some relevant bibliography},
	ee = {http://rome.exp.sis.pitt.edu/UAI/Abstract.asp?articleID=231{\&}proceedingID=14}, bibsource = {DBLP, http://dblp.uni-trier.de},
	keywords = {RS }
}

@article{Heckerman1975,
	title = {Motivating managers to make investment decisions},
	author = {Donald G. Heckerman},
	journal = {Journal of Financial Economics},
	month = {Sep},
	number = {3},
	pages = {273--292},
	url = {http://www.sciencedirect.com/science/article/B6VBX-458X2B8-F/1/6a57111998dd1d385dca852bbf44d591},
	volume = {2},
	year = {1975},
	biburl = {http://www.bibsonomy.org/bibtex/2efc12b88d6692d3329c6c9fd5d3443f6/smicha},
	keywords = {imported }
}

@article{Heckerman1973,
	title = {On the effects of exchange risk},
	author = {Donald Heckerman},
	journal = {Journal of International Economics},
	month = {Nov},
	number = {4},
	pages = {379--387},
	url = {http://www.sciencedirect.com/science/article/B6V6D-45JK5GB-H/1/e6d068e5f0dfe0847bd666b554c0540b},
	volume = {3},
	year = {1973},
	biburl = {http://www.bibsonomy.org/bibtex/2d143ce03a4bcff459a21c10e06e2db01/smicha},
	keywords = {imported }
}

@incollection{Heckerman96,
	title = {Bayesian networks for knowledge discovery},
	author = {D. Heckerman},
	booktitle = {Advances in Knowledge Discovery and Data Mining},
	editor = {U.M. Fayyad and G. Piatetsky-Shapiro and P. Smyth and R. Uthurusamy},
	pages = {273--305},
	publisher = {AAAI Press},
	year = {1996},
	biburl = {http://www.bibsonomy.org/bibtex/2c937681aa0b8a4861dabacd9c070a87a/stumme},
	keywords = {FCA OntologyHandbook }
}

@inproceedings{heckerman:uai94,
	title = {Learning {B}ayesian Networks: {T}he Combination of Knowledge and Statistical Data},
	author = {D. Heckerman and D. Geiger and D. M. Chikering},
	booktitle = {Proceedings of the Tenth Conference on Uncertainty in Artificial Intelligence},
	pages = {293--301},
	year = {1994},
	biburl = {http://www.bibsonomy.org/bibtex/2d220d812929d35532f546e1003b6bd0f/idsia},
	priority = {2}, citeulike-article-id = {2377069},
	keywords = {nn }
}

@inproceedings{heckerman:uai94,
	title = {Learning {B}ayesian Networks: {T}he Combination of Knowledge and Statistical Data},
	author = {D. Heckerman and D. Geiger and D. M. Chikering},
	booktitle = {Proceedings of the Tenth Conference on Uncertainty in Artificial Intelligence},
	pages = {293--301},
	year = {1994},
	biburl = {http://www.bibsonomy.org/bibtex/2d220d812929d35532f546e1003b6bd0f/schaul},
	description = {idsia},
	priority = {2}, citeulike-article-id = {2377069},
	keywords = {nn }
}

@inproceedings{Breese98,
	title = {Empirical Analysis of Predictive Algorithms for Collaborative Filtering.},
	author = {John S. Breese and David Heckerman and Carl Myers Kadie},
	booktitle = {Proceedings of the 14$^{th}$ Conference on Uncertainty in Artificial Intelligence},
	editor = {G. F. Cooper and S. Moral},
	pages = {43-52},
	year = {1998},
	biburl = {http://www.bibsonomy.org/bibtex/24e7d6d8eb42f8708f904208253fd3277/dbenz_test},
	lastname = {Breese}, own = {notown}, lastdatemodified = {2007-05-14}, read = {notread},
	keywords = {studienarbeit }
}

@unpublished{Brafman02,
	title = {Recommendation as a Stochastic Sequential Decision Problem},
	annote = {Recommender system modeled as a Markov Decision Process. Update of the MDP and management of the large state-space. Deployed at http://www.mitos.co.il online bookstore. },
	author = {R. I. Brafman and D. Heckerman},
	url = {http://citeseer.nj.nec.com/565267.html},
	year = {2002},
	biburl = {http://www.bibsonomy.org/bibtex/2456999e069810f014652344ed45d2b63/ocelma},
	keywords = {imported }
}