| Publications, Presentations and
tutorials by Wray Buntine |
Most material is compressed (or gzipped) Postscript, some is HTML. I'll gradually be making these available in PDF and other formats.
"Networks for Learning". Invited paper for 50th Session of the International Statistical Institute, Beijing, China, August, 1995. 192Kb. In the networks session organized by Prof. Steffen Lauritzen.
"Graphical models for discovering knowledge". 198Kb. Chapter for Knowledge Discovery in Data Bases II, edited by Fayyad, Piatetsky-Shapiro, Smyth and Uthurusamy, 1996. HTML version.
"A Guide to the Literature on Learning Probabilistic Networks From Data" -- literature review on learning graphical models, in IEEE Trans. on Knowledge and Data Engineering. 235Kb. Final draft submitted 29th Nov., '95. HTML version. Adobe PDF version.
"Operations for Learning with Graphical Models" -- Journal of Artificial Intelligence Research (JAIR), 2, December, 1994. 675Kb of compressed Postscript. HTML version.
"Computation with the Exponential Family and Graphical Models" -- tutorial given at NATO Workshop on Learning in Graphical Models, Erice, Italy, September 1996. Postscript no fonts, uncompressed (380kb) and gzipped Postscript no fonts (90kb). Adobe PDF version.
"Prior Probabilities" -- tutorial given at NATO Workshop on Learning in Graphical Models, Erice, Italy, September 1996. Major update to earlier talk given around the US, 1992-1994. Gzpped Postscript no fonts (120kb) and Postscript no fonts, uncompressed (640kb). See also the Postscript companion bibliography (20kb). Adobe PDF version plus the PDF bibliography.
Tutorial on Real world application of learning methods, in UAI'96. Available as Postscript slides, 4-up for printing (doesn't view well).
"Compiling Probabilistic Networks and Some Questions This Poses" -- talk given at NIPS'95 Workshop on graphical models, Vail, Colorado, December 1995, Postscript, 2 slides per page for printing, no fonts included, 82kb. Much larger (but fonts included) Postscript, 650kb compressed.
Tutorial on Probabilistic Machine Learning: Putting Theory into Practice, with Padhraic Smyth in IJCAI'95. Available as HTML outline with pointers to Postscript slides.
Tutorial on Bayesian Methods at MaxEnt'95, in Workshop on Maximum Entropy and Bayesian Methods. Tutorial available as HTML outline with pointers to Postscript slides, references and related areas.