C S Wallace and D L Dowe: (1999b) Refinements of MDL and MML coding, in C J van Rijsbergen (ed), The Computer Journal, Special Issue - Kolmogorov Complexity, 1999, Oxford University Press, UK, ISSN: 0010-4620, 330-337. (http://comjnl.oxfordjournals.org/cgi/reprint/42/4/, http://comjnl.oxfordjournals.org/cgi/reprint/42/4/330)
C S Wallace and D L Dowe: (1999c) Rejoinder, in C J van Rijsbergen (ed), The Computer Journal, Special Issue - Kolmogorov Complexity, 1999, Oxford University Press, UK, Vol 42, No 4, ISSN: 0010-4620, 345-347. (http://comjnl.oxfordjournals.org/cgi/reprint/42/4/, http://comjnl.oxfordjournals.org/cgi/reprint/42/4/345)
M Viswanathan and C S Wallace: A note on the comparison of polynomial selection methods, in D Heckerman and J Whittaker (eds), Proceedings of Uncertainty 99: The Seventh International Workshop on Artificial Intelligence and Statistics, Fort Lauderdale, Florida, 3-6 January, 1999, Morgan Kaufmann Publishers, Inc., San Francisco, CA, USA, ISBN: 1-55860-589-4, 1999, 169-177.
M Viswanathan, C S Wallace, D L Dowe and K B Korb: Finding cutpoints in noisy binary sequences - a revised empirical evaluation, in N Foo (ed), Lecture Notes in Artificial Intelligence 1747, Subseries of Lecture Notes in Computer Science, Advanced Topics in Artificial Intelligence, Proceedings of the Twelfth Australian Joint Conference on Artificial Intelligence (AI'99), Sydney, Australia, 6-10 December 1999, Springer-Verlag, Germany, ISBN: 3-540-66822-5, pp 405-416. [p405, p406, p407, p408, p409, p410, p411, p412, p413, p414, p415, p416]
J J Oliver, R A Baxter and C S Wallace: Minimum message length segmentation, in X Wu, R Kotagiri and K B Korb (eds) Lecture Notes in Artificial Intelligence 1394, Research and Development in Knowledge Discovery and Data Mining, Second Pacific-Asia Conference, PAKDD-98 Melbourne Australia, 15-17 April 1998, Springer-Verlag, Germany, ISSN: 0302-9743 ISBN: 3-540-64383-4, 222-233.
D L Dowe, C S Wallace: Kolmogorov complexity, minimum message length and inverse learning, in W Robb (ed), Proceedings of the Fourteenth Biennial Australian Statistical Conference (ASC-14), Queensland, Australia, 6-10 July, 1998, p 144.
C S Wallace: Multiple factor analysis by minimum message length estimation, in W Robb (ed), (non-refereed conference paper), Proceedings of the Fourteenth Biennial Statistical Conference, Queenland, Australia, 6-10 July, 1998, p 144.
C S Wallace: On the selection of the order of a polynomial model, in W Robb (ed), (non-refereed conference paper), Proceedings of the Fourteenth Biennial Australian Statistical Conference, Queensland, Australia, 6-10 July, 1998, p 145.
H Dai, K B Korb, C S Wallace and X Wu: A study of causal discovery with weak links and small samples, Proceedings of the Fifteenth International Joint Conference on Artificial Intelligence, Morgan Kaufmann Publishers Inc, San Francisco USA, 1304-1309, 6pp.
D L Dowe and C S Wallace: Resolving the Neyman-Scott problem by minimum message length, Computing Science and Statistics, Interface '96, Proceedings of the 28th Symposium on the Interface, Interface Foundation of North America Inc, Fairfax Station VA USA, 614-618, 5pp. [p614, p615, p616, p617, p618]
G E Farr and C S Wallace: Algorithmic and combinatorial problems in strict minimum message length inference, Research on Combinatorial Algorithms, Queensland University of Technology, Brisbane Australia, 50-58, 9pp.
C S Wallace and D L Dowe: MML mixture modelling of multi-state, Poisson, von Mises circular and Gaussian distributions, Sixth International Workshop on Artificial Intelligence and Statistics, Society for AI and Statistics, San Francisco USA, 529-536, 8pp.
C S Wallace and D L Dowe: MML mixture modelling of multi-state, Poisson, von Mises circular and Gaussian distributions, Computing Science and Statistics, Interface '96, Proceedings of the 28th Symposium on the Interface, Interface Foundation of North America Inc, Fairfax Station VA USA, 608-613, 6pp. [p608, p609, p610, p611, p612, p613]
D L Dowe and C S Wallace: Resolving the Neyman-Scott problem by minimum message length, 97/307, Dept Computer Science Technical Reports, Dept Computer Science, Monash University, Melbourne Australia, 1-10, 10pp. Technical report CS 97/307. Abstract available.
G E Farr and C S Wallace: The complexity of strict minimum message length inference, 97/321, Dept Computer Science Technical Reports, Dept Computer Science, Monash University, Melbourne Australia, 1-15, 15pp. Technical report CS 97/321. Abstract available.
K B Korb and C S Wallace: In search of the philosopher's stone: Remarks on Humphreys and Freedman's critique of causal discovery, 97/315, Dept Computer Science Technical Reports, Dept Computer Science, Monash University, Melbourne Australia, 1-10, 10pp. Technical report CS 97/315. Abstract available.
C S Wallace and K B Korb: Learning linear causal model by MML sampling, 97/310, Dept Computer Science Technical Reports, Dept Computer Science, Monash University, Melbourne Australia, 1-17, 17pp. Technical report CS 97/310. Abstract available.
D L Dowe and C S Wallace: Resolving the Neyman-Scott problem by Minimum Message Length, SISC-96 Sydney International Statistical Congress, SISC-96, Sydney Australia, 197-198, 2pp.
D L Dowe, J J Oliver and C S Wallace: MML estimation of the parameters of the spherical Fisher distribution, Lecture Notes in Artificial Intelligence 1160. Subseries of Lecture Notes in Computer Science. Algorithmic Learning Theory. 7th Int Workshop, ALT'96 Proceedings, Springer-Verlag, Berlin Germany, 213-227, 15pp. [p213, p214, p215, p216, p217, p218, p219, p220, p221, p222, p223, p224, p225, p226, p227] http://dx.doi.org./10.1007/3-540-61863-5_48
D L Dowe, J J Oliver, R A Baxter and C S Wallace: Bayesian estimation of the von Mises concentration parameter, Maximum Entropy and Bayesian Methods. Proceedings of the Fifteenth International Workshop on Maximum Entropy and Bayesian Methods, Kluwer Academic Publishers, Dordrecht, The Netherlands, 51-59, 9pp.
J J Oliver, R A Baxter and C S Wallace: Unsupervised learning using MML, Machine Learning. Proceedings of the Thirteenth International Conference (ICML'96), Morgan Kaufmann Publishers, San Francisco CA USA, 364-372, 9pp.
C S Wallace: False oracles and strict MML estimators, Proceedings of the Conference, Information, Statistics and Induction in Science (ISIS'96), World Scientific (ISBN 981-02-2824-4), Singapore, pp304-316, 13pp. [p304, p305, p306, p307, p308, p309, p310, p311, p312, p313, p314, p315, p316]
C S Wallace and D L Dowe: MML mixture modelling of multi-state, Poisson, von Mises circular and Gaussian distributions, SISC-96 Sydney International Statistical Congress, SISC-96, Sydney Australia, 197-197, 1pp.
C S Wallace, K B Korb and H Dai: Causal discovery via MML, Machine Learning. Proceedings of the Thirteenth International Conference (ICML'96), Morgan Kaufmann Publishers, San Francisco CA USA, 516-524, 9pp.
D L Dowe, J J Oliver and C S Wallace: MML estimation of the parameters of the spherical Fisher distribution, 96/272, Dept Computer Science Technical Reports, Dept Computer Science, Monash Univ, Melbourne Australia, 1-15, 15pp. Technical report CS 96/272. Abstract available.
C S Wallace, K B Korb and H Dai: Causal discovery via MML, 96/254, Dept Computer Science Technical Reports, Dept Computer Science, Monash Univ, Melbourne Australia, 1-24, 24pp. Technical report CS 96/254. Abstract available.
D L Dowe, J J Oliver, R A Baxter and C S Wallace: Bayesian estimation of the von Mises concentration parameter, Proceedings of fifteenth international workshop on maximum entropy and bayesian methods (MaxEnt'95), Santa Fe, USA, 9pp, 1995.
C S Wallace: Machine Learning, Proceedings of Second Theory Day University of NSW, 12pp, 1995.
C S Wallace: MML inference of predictive trees, graphs and nets, Applied Decision Technologies, Proceedings of applied decision technologies (ADT) 1995 conference, Stream 1: Computational learning & probabilistic reasoning London, 101-15, 1995.
D L Dowe, J J Oliver, R A Baxter and C S Wallace: Bayesian estimation of the Von Mises concentration parameter, (Technical report 95/236) Dept Computer Science, Monash University, Melbourne, 8pp, 1995. Technical report CS 95/236. Abstract available.
C S Wallace: Multiple factor analysis by MML estimation, (Technical report 95/218) Dept Computer Science, Monash University, Melbourne, 21pp, 1995. Technical report CS 95/218. Abstract available.
C S Wallace and D L Dowe: Intrinsic classification by MML - the Snob program, in C Zhang, J Debenham and D Lukose (eds) Artificial Intelligence AI'94 Proc seventh Australian joint conf on artificial intelligence Armidale, 37-44, 1994.
C S Wallace and K B Korb: A Bayesian learning agent'(abstract) in C S Wallace(ed), Research conference: Faculty of Computing & Information Technology, Monash University, Melbourne, 19, 1994.
C S Wallace, J D Patrick: Coding Decision Trees, Machine Learning 11, 7-22, 1993.
C S Wallace and D L Dowe: MML estimation of the von Mises concentration parameter, (Technical report 93/193) Dept Computer Science, Monash University, Melbourne, 21pp, 1993. Technical report CS 93/193. Abstract available.
C S Wallace and P R Freeman: Single factor analysis by MML estimation, J Royal Stat. Soc. B. 54, 1, 195-209, 1992.
D L Dowe, J Oliver, L Allison, T I Dix and C S Wallace: Learning rules for protein secondary structure prediction, Dept. res. conf., Comp. Sci. Dept., UWA University of Western Australia, 1-12, 1992.
J J Oliver, D L Dowe and C S Wallace: Inferring decision graphs using the minimum message length principle, Proc. fifth Australian joint conf. on
artificial intelligence, Hobart, Tasmania, Australia,
361-367,
1992.
[p361,
p362,
p363,
p364,
p365,
p366,
p367]
As its title suggests, this paper concerns the inference of
decision graphs using
MML.
J Oliver and C S Wallace: Inferring decision graphs, (Technical report 92/170) Dept Computer Science, Monash University, Melbourne, 5pp, 1992. Technical report CS 92/170. Abstract available.
C S Wallace and J D Patrick: Coding decision trees, (Technical report 91/153) Dept Computer Science, Monash University, Melbourne, 12pp, 1991. Technical report CS 91/153. Abstract available.
L Allison, C S Wallace and C N Yee: When is a String Like a String, Proc. of Int. Symposium on Artificial Intelligence and Mathematics Ft. Lauderdale, Florida, 14pp, 1990.
C S Wallace: Classification by Minimum-Message-Length Inference, Proceedings International Conference on Computing and Information (ICCI 90), Niagara Falls, 1-5, 1990.
C S Wallace: Classification by Minimum-Message-Length Inference, Working Notes AAAI Spring Symposium Series - Stanford Uni. 65-9, 1990.
C S Wallace and P R Freeman: Single factor analysis by MML estimation, Technical Report 90/144 Dept Computer Science, Monash University, 1990. Technical report CS 90/144. Abstract available.
C. S. Wallace 1968-1991 MML publications
C. S. Wallace 1990- MML applications
C. S. Wallace 1968-1996 MML applications
BibTeX references to most of Chris Wallace's MML publications
Minimum Message Length
(MML),
MML clustering and mixture models,
MML decision trees,
MML decision graphs,
MML Bayes nets,
MML time series
D. Dowe
publications
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