This directory contains documents and programs by Radford M. Neal. My e-mail address is radford@cs.utoronto.ca. You can also get to this information via the World Wide Web, starting the URL http://www.cs.utoronto.ca/~radford In fact, that's the preferred way, since I may not keep this README file up-to-date. AND IN FACT, I HAVEN'T KEPT IT UP-TO-DATE! Files ending in .ps.Z are compressed PostScript - THESE MUST BE TRANSFERRED IN BINARY FTP MODE. These files can be uncompressed on Unix machines using the 'uncompress' command, then viewed with 'ghostview' or printed with 'lpr', or whatever. For the larger documents, you may find that the -s option of lpr is needed. Short files containing the abstract and the table of contents for papers may also be available. Some documents have a ".ref" file that gives a reference to published papers based on the document. NOTE: The text of my thesis is no longer available on-line (you can still get the abstract). A revised version of the thesis with some new material has now been published by Springer-Verlag. You should be able to order it at 1-800-Springer or orders@springer-ny.com. The ISBN is 0-387-94724-8. The price is $32.95 (US). The documents in this directory are as follows: slice Technical Report No. 9722 on "Markov chain Monte Carlo methods based on `slicing' the density function", 27 pages. mc-gp Technical Report No. 9702 on "Monte Carlo implementation of Gaussian process models for Bayesian regression and classification", 24 pages. ws-fa Technical Report No. 9607 on "Factor Analysis Using Delta-Rule Wake-Sleep Learning", 23 pages. over Technical Report No. 9508 on "Suppressing Random Walks in Markov Chain Monte Carlo Using Ordered Overrelaxation", 22 pages. ttrans Technical Report No. 9421 on "Sampling from multimodal distributions using tempered transitions", 22 pages. pin Technical report CRG-TR-94-1 on "Priors for infinite networks", 22 pages. review Technical report CRG-TR-93-1 on "Probabilistic inference using Markov chain Monte Carlo methods", 144 pages. emk Paper with Geoffrey Hinton on "A view of the EM algorithm that justifies incremental, sparse, and other variants", 14 pages. bbp Technical report CRG-TR-92-1 on "Bayesian training of backpropagation networks by the hybrid Monte Carlo method", 21 pages. bmm Technical report CRG-TR-91-2 on "Bayesian mixture modeling by Monte Carlo simulation", 23 pages. sff Technical report CRG-TR-90-7 on "Learning stochastic feedforward networks", 34 pages. taxc Unpublished manuscript on "The computational complexity of taxonomic inference", December 1989, 18 pages. The programs in this directory are as follows: fbm.* These files contain versions of my software for flexible Bayesian modeling, including neural network and Gaussian process models. You're better off getting them via my Web page. bnn.* These files contain some old version of Bayesian neural network software. ws-fa.tar Programs implementing wake-sleep learning of factor analysis models. lowp_ac.shar Shell archive of software for fast arithmetic coding using low-precision arithmetic, which can be done quickly without multiplies and divides. lowp_ac.doc Just the documenation for the above software (which is included in lowp_ac.shar). cacm_ac.shar Shell archive of adaptive arithmetic coding software from Witten, Neal & Cleary, Communications of the ACM, vol. 30, no. 6 (June 1987).