Comley, Joshua W. and D.L. Dowe (2005). Minimum Message Length and Generalized Bayesian Networks with Asymmetric Languages, Chapter 11 (pp265-294) [sec. 11.4.2, pp271-272] in P. Gru:nwald, I. J. Myung and M. A. Pitt (eds.), Advances in Minimum Description Length: Theory and Applications, M.I.T. Press (MIT Press), April 2005, ISBN 0-262-07262-9.
Dowe, D. L. (2008a). ``Foreword re C. S. Wallace '', Computer Journal, Vol. 51, No. 5 (Sept. 2008) [Christopher Stewart WALLACE (1933-2004) memorial special issue], pp523-560 (www.doi.org : 10.1093/comjnl/bxm117) (Computer Journal Advance Access published online on June 18, 2008 [http://comjnl.oxfordjournals.org/papbyrecent.dtl (18 June 2008)]). This paper mentions the probabilistic footy-tipping competition in many places - such as, e.g., sec. 0.2.5, p541, col. 2 (and footnotes 173 and 174) [and perhaps continuing on into p542, col. 1], and sec. 0.2.7, p544, col. 2, footnote 200, and sec. 0.3, p547, col. 1, footnote 217. See also footnote 175.
D. L. Dowe (2011a [was to be 2010]), "MML, hybrid Bayesian network graphical models, statistical consistency, invariance and uniqueness", Handbook of the Philosophy of Science - (HPS Volume 7) Philosophy of Statistics, P.S. Bandyopadhyay and M.R. Forster (eds.), Elsevier, [ISBN: 978-0-444-51862-0 {ISBN 10: 0-444-51542-9 / ISBN 13: 978-0-444-51862-0}], pp901-982. See especially - or, at least, initially - sec. 3.5.
D. L. Dowe (2011b), ``Probabilistic and Gaussian Football Tipping'', Vinculum (The Mathematical Association of Victoria) [ISSN 0157 - 759X], pp10-12, Vol. 48, Term 2, 2011.
D. L. Dowe (2013a), "Introduction to Ray Solomonoff 85th Memorial Conference", (Algorithmic Probability and Friends. Bayesian Prediction and Artificial Intelligence, Proc. Ray Solomonoff 85th memorial conference,) LNAI 7070 (LNCS 7070), Springer, pp1-36. See especially sec. 4.1.
Dowe, D.L. and K.L. Lentin (1995). "Information-theoretic footy-tipping competition - Monash". Computer Science Association Newsletter (Australia), pp55-57. [p55, p56, p57]
Dowe, D.L., K.L. Lentin, J.J. Oliver and A.J. Hurst (1996). "An information-theoretic and a Gaussian footy-tipping competition." FCIT Faculty Newsletter, June 1996, Monash University, Australia, pp2-6. [p2, p3, p4, p5, p6] [This paper and several of the papers below from 1996 and 1997 introduce(s) log-loss probabilistic scoring for the Gaussian distribution, following on the Dowe & Krusel (1993) paper generalising the log-loss multinomial (multi-state) scoring system beyond two classes.]
Dowe, D.L., A.J. Hurst, K.L. Lentin, G. Farr, J.J. Oliver (1996). "Probabilistic and Gaussian football prediction competitions - Monash." Computer Science Association (Australia) Newsletter, pp16-18, July 1996 and Artificial Intelligence in Australia Research Report, pp22-23.
Dowe, D.L., A.J. Hurst, K.L. Lentin, G. Farr (1997). "Probabilistic and Gaussian football prediction competitions - Monash." Artificial Intelligence in Australia Research Report, 1997, pp18-19.
Dowe, D.L., G.E. Farr, A.J. Hurst and K.L. Lentin (1996). "Information-theoretic football tipping", in N de Mestre (ed.), Third Australian Conference on Mathematics and Computers in Sport, Bond University, Qld, 233-241, 1996.
D L Dowe, G E Farr, A J Hurst and K L Lentin, "Information-theoretic football tipping", Technical Report #96/297, Dept Computer Science, Monash University, Melbourne, 11pp, 1996.
D L Dowe, M Doran, G E Farr, A J Hurst, D Powell and T Seemann (1998). "Kullback-Leibler distance, probability and football prediction", abstract, page 80, 14th Australian Statistical Conference (ASC-14), Gold Coast, Qld, 6 - 10 July 1998.
D L Dowe and N Krusel: A decision tree model of bushfire activity, (Technical report 93/190) Dept Computer Science, Monash University, Clayton, Vic. 3800, Australia, 7pp, September 1993. [p1, p2, p3, p4, p5, p6, p7] [This paper introduces log-loss probabilistic scoring for more than two classes - see, e.g., p4, Table 3.]
Kornienko, L., D.L. Dowe and D.W. Albrecht (2002). Message Length formulation of Support Vector Machines for Binary Classification - A Preliminary Scheme. Proc. 15th Australian Joint Conference on Artificial Intelligence, Canberra, Australia, 2-6 Dec. 2002, Published in Lecture Notes in Artificial Intelligence (LNAI) 2557, Springer-Verlag, pp119-130. [see Table 2, p128.]
Needham, S.L. and D.L. Dowe (2001). Message Length as an Effective Ockham's Razor in Decision Tree Induction, Proc. 8th International Workshop on Artificial Intelligence and Statistics (AI+STATS 2001), pp253-260, Key West, Florida, U.S.A., Jan. 2001. www.csse.monash.edu.au/~dld/Publications/2001/Needham+Dowe2001.ref.
Tan, P.J. and D.L. Dowe (2002). MML Inference of Decision Graphs with Multi-Way Joins, Proc. 15th Australian Joint Conference on Artificial Intelligence, Canberra, Australia, 2-6 Dec. 2002, Published in Lecture Notes in Artificial Intelligence (LNAI) 2557, Springer-Verlag, pp131-142. www.csse.monash.edu.au/~dld/Publications/2002/Tan+Dowe2002.ref.
P. J. Tan and D. L. Dowe (2003). MML Inference of Decision Graphs with Multi-Way Joins and Dynamic Attributes, Proc. 16th Australian Joint Conference on Artificial Intelligence (AI'03), Perth, Australia, 3-5 Dec. 2003, Published in Lecture Notes in Artificial Intelligence (LNAI) 2903, Springer-Verlag, pp269-281 [see especially section 5.1]. www.csse.monash.edu.au/~dld/Publications/2003/Tan+Dowe2003.ref.
P. J. Tan and D. L. Dowe (2004). MML Inference of Oblique Decision Trees, Proc. 17th Australian Joint Conference on Artificial Intelligence (AI'04), Cairns, Qld., Australia, Dec. 2004, Lecture Notes in Artificial Intelligence (LNAI) 3339, Springer-Verlag, pp1082-1088. [See Table 1 and secs. 3.1, 4 and 5.] www.csse.monash.edu.au/~dld/Publications/2004/Tan+Dowe2004.ref.
P. J. Tan and D. L. Dowe (2006). "Decision Forests with Oblique Decision Trees" (and .pdf here), [Proc. 5th Mexican International Conference on Artificial Intelligence (MICAI 2006),] Lecture Notes in Artificial Intelligence (LNAI) 4293, Springer-Verlag, pp593-603. [See sec. 4.2 (and Table 2).] [This paper includes the writing up of an idea which Dowe clearly and explicitly articulated (at the Australian AI'2002 conference) in Dec. 2002 which shows how to incorporate Bayesian priors into the log-loss probabilistic scoring systems of, e.g., Dowe & Krusel (1993) and Dowe, Lentin, Oliver & Hurst (1996).]
Wallace, C.S. and D.L. Dowe (1999). Minimum Message Length and Kolmogorov Complexity, Computer Journal (special issue on Kolmogorov complexity), Vol. 42, No. 4, pp270-283.
[This one is a book that you would have to acquire for yourself.] Wallace, C.S. (posthumous, 2005), Statistical and Inductive Inference by Minimum Message Length, Springer (Series: Information Science and Statistics), 2005, XVI, 432 pp., 22 illus., Hardcover, ISBN: 0-387-23795-X. (Link to table of contents, chapter headings and more.)

Further Reading