Assoc Prof David Dowe - Researcher Profile

Biography

David works in the Faculty of Information Technology at Monash University as an Associate Professor.

Keywords

Human and Artificial Intelligence, Minimum Message Length Inference

Qualifications

PH.D. COMPUTER PROGRAM VERIFICATION, MATHEMATICS

Institution: Monash University

Year awarded: 1991

MASTER OF ECONOMICS (ECONOMETRICS)

Institution: London School of Economic's, University of E

Year awarded: 1987

B.SC (HONS) MATHEMATICS & PHYSICS

Institution: Melbourne University

Year awarded: 1982

Publications

Books

Dowe, D.L., Hajek, A.R., 1997, A computational extension to the Turing test, Dept Computer Science, Monash University, Melbourne Vic Australia.

Dowe, D.L., Wallace, C.S., 1997, Resolving the Neyman-Scott problem by minimum message length, Dept Computer Science, Monash University, Melbourne Vic Australia.

Book Chapters

Dowe, D.L., 2011, MML, Hybrid Bayesian network graphical models, statistical consistency, invariance and uniqueness, in Philosophy of Statistics, eds Prasanta S Bandyopadhyay and Malcolm R Forster, Elsevier, Amsterdam Netherlands, pp. 901-982.

Comley, J.W., Dowe, D.L., 2005, Minimum message length and generalized Bayesian nets with asymmetric languages, in Advances in Minimum Description Length Theory and Applications, eds P D Grunwald, I J Myung and M A Pitt, MIT Press, London England, pp. 265-294.

Dowe, D.L., 1997, The contribution of variance to utility functions, in Econometric Society Australasian Meeting Conference Proceedings, Economics Dept, University of Melbourne, Melbourne Vic Australia, pp. 1-5.

Journal Articles

Visser, G., Dale, P., Dowe, D.L., Ndoen, E., Dale, M., Sipe, N., 2012, A novel approach for modeling malaria incidence using complex categorical household data: The minimum message length (MML) method applied to Indonesian data, Computational Ecology and Software [E], vol 2, issue 3, International Academy of Ecology and Environmental Sciences, Hong Kong, pp. 140-159.

Dowe, D.L., Hernandez-Orallo, J., 2012, IQ tests are not for machines, yet, Intelligence [P], vol 40, issue 2, Elsevier Science, New York NY USA, pp. 77-81.

Barmpalias, G., Dowe, D.L., 2012, Universality probability of a prefix-free machine, Philosophical Transactions Of The Royal Society A-Mathematical Physical And Engineering Sciences [P], vol 370, issue 1975, The Royal Society, London England, pp. 3488-3511.

Dowe, D.L., 2011, Probabilistic and Gaussian football tipping, Vinculum [P], vol 48, issue 2, The Mathematical Association of Victoria, Brunswick Vic Australia, pp. 10-12.

Dale, P.E., Dale, M.B., Dowe, D.L., Knight, J.M., Lemckert, C.J., Low Choy, C.D., Sheaves, M.J., Sporne I., 2010, A conceptual model for integrating physical geography research and coastal wetland management, with an Australian example, Progress in Physical Geography [P], vol 34, issue 5, Sage Publications Ltd, London UK, pp. 605-624.

Musgrave, S., Dowe, D., 2010, Kinship, optimality, and typology, Behavioral And Brain Sciences [P], vol 33, issue 5, Cambridge University Press, New York NY USA, pp. 397-398.

Hernandez-Orallo, J., Dowe, D.L., 2010, Measuring universal intelligence: Towards an anytime intelligence test, Artificial Intelligence [P], vol 174, issue 18, Elsevier Science BV, Amsterdam Netherlands, pp. 1508-1539.

Dowe, D.L., 2008, Foreword re C. S. Wallace, The Computer Journal, vol 51, issue 5, Oxford University Press, Oxford England UK, pp. 523-560.

Dowe, D.L., 2008, Minimum message length and statistically consistent invariant (Objective?) bayesian probabilistic inferenceFrom (Medical) evidence, Social Epistemology, vol 22, issue 4, Routledge, United Kingdom, pp. 433-460.

Dowe, D.L., Gardner, S.L., Oppy, G.R., 2007, Bayes not bust! Why simplicity is no problem for Bayesians, The British Journal for the Philosophy of Science, vol 58, issue 4, Oxford University Press, United Kingdom, pp. 709-754.

Dowe, D.L., 2007, Discussion on hedging predictions in machine learning by A Gammerman and V Vovk, The Computer Journal, vol 50, issue 2, Oxford University Press, United Kingdom, pp. 167-168.

Twardy, C., Gardner, S.L., Dowe, D.L., 2005, Empirical data sets are algorithmically compressible: reply to McAllister?, Studies in History and Philosophy of Science Part A, vol 36, issue 2, Elsevier, UK, pp. 391-402.

Clarke, D.M., Smith, G.C., Dowe, D.L., McKenzie, D.P., 2003, An empirically derived taxonomy of common distress syndromes in the medically ill, Journal of Psychosomatic Research, vol 54, issue 4, Elsevier, Oxford England, pp. 323-330.

Oppy, G.R., Dowe, D.L., 2003, The Turing Test, The Stanford Enyclopedia of Philosophy, vol 1(on-line), The Metaphysics Research Lab., Stanford USA, pp. 1-26.

Fitzgibbon, L.J., Dowe, D.L., Allison, L., 2002, Change-point estimation using new Minimum Message Length approximations, Lecture Notes in Artificial Intelligence, vol 2417, Springer-Verlag, Berlin Germany, pp. 244-254.

Agusta, Y., Dowe, D.L., 2002, MML clustering of continuous-valued data using Gaussian and t distributions, Lecture Notes in Artificial Intelligence, vol 2557, Springer-Verlag, Berlin Germany, pp. 143-154.

Tan, J.P., Dowe, D.L., 2002, MML inference of decision graphs with multi-way joins, Lecture Notes in Artifcial Intelligence, vol 2557, Springer-Verlag, Berlin Germany, pp. 131-142.

Kornienko, L., Dowe, D.L., Albrecht, D.W., 2002, Message length formulation of Support Vector Machines for binary classification - a preliminary scheme, Lecture Notes in Artificial Intelligence, vol 2557, Springer-Verlag, Berlin Germany, pp. 119-130.

Dowe, D.L., Oppy, G.R., 2001, Universal Bayesian Inference?, Behavioral and Brain Sciences, vol 24, issue 4, Cambridge University Press, UK, pp. 662-663.

Jansen, A.R., Dowe, D.L., Farr, G.E., 2000, Inductive Inference of Chess Player Strategy, Lecture Notes in Artificial Intelligence, vol 1886, Springer-Verlag, Heidelberg Germany, pp. 61-71.

Wallace, C.S., Dowe, D.L., 2000, MML Clustering of Multi-state, Poisson, von Mises Circular and Gaussian Distributions, Statistics and Computing, vol 10 issue 1, Kluwer Academic Publishers, Dordrecht Netherland, pp. 73-83.

Fitzgibbon, L.J., Allison, L., Dowe, D.L., 2000, Minimum Message Length Grouping of Ordered Data, Lecture Notes in Artificial Intelligence, vol 1968, Springer-Verlag, Heidelberg Germany, pp. 56-70.

Viswanathan, M., Wallace, C.S., Dowe, D.L., Korb, K.B., 1999, Finding Cutpoints in Noisy Binary Sequences - A Revised Empirical Evaluation, Lecture Notes in Artificial Intelligence Advanced Topics in Artificial Intelligence, 12th Australian Joint Conf. on Artificial Intelligence (AI'99), vol n foo, Springer-Verlag, Heidelberg GERMANY, pp. 405-416.

Wallace, C.S., Dowe, D.L., 1999, Minimum Message Length and Kolmogorov Complexity, The Computer Journal Special Issue Kolmogorov Complexity, vol 42 issue 4, Oxford University Press, Oxford ENGLAND, pp. 270-283.

Wallace, C.S., Dowe, D.L., 1999, Refinements of MDL and MML Coding, The Computer Journal -Special Issue Kolmogorov Complexity, vol 42 issue 4, Oxford University Press, Oxford ENGLAND, pp. 330-337.

Wallace, C.S., Dowe, D.L., 1999, Rejoinder, The Computer Journal Special Issue Kolmogorov Complexity, vol 42 issue 4, Oxford University Press, Oxford ENGLAND, pp. 345-347.

Prior, M., Leekam, S., Ong, B., Eisenmajer, R., Wing, L., Gould, J., Dowe, D.L., 1998, Are there Subgroups within the Autistic Spectrum? A Cluster Analysis of a Group of Children with Autistic Spectrum Disorders, Journal of Child Psychology and Psychiatry and Allied Disciplines, vol 39 no 6, Cambridge University Press, UK, pp. 893-902.

Dowe, D.L., Baxter, R.A., Oliver, J.J., Wallace, C.S., 1998, Point Estimation using the Kullback-Leibler Loss Function and Minimum Message Length, Lecture Notes in Artifical Intelligence: Research and Development in Knowledge Discovery and Data Mining, vol 1394, Springer-Verlag, Germany, pp. 87-95.

Edwards, R.T., Dowe, D.L., 1998, Single Factor Analysis in Minimal Message Length Mixture Modelling, Lecture Notes in Artifical Intelligence: Research and Development in Knowledge Discovery and Data Mining, vol 1394, Springer-Verlag, Berlin Germany, pp. 96-109.

Dowe, D.L., Allison, L., Pringle, G., 1998, The Hunter and the Hunted - Modelling the Relationship Between Web Pages and Search Engines, Lecture Notes in Artificial Intelligence: Research and Development in Knowledge Discovery and Data Mining, vol 1394, Springer-Verlag, Germany, pp. 380-382.

Conference Proceedings

Insa-Cabrera, J., Hernandez-Orallo, J., Dowe, D.L., Espana-Cubillo, S., Hernandez-Lloreda, V., 2012, The ANYNT project intelligence test one, AISB/ICAP World Congress 2012: Revisiting Turing and his Test: Comprehensiveness, Qualia, and the Real World, 2 July 2012 to 6 July 2012, The Society for the Study of Artificial Intelligence and Simulation of Behaviour (AISB), Hove UK, pp. 20-27.

Hernandez-Orallo, J., Insa-Cabrera, J., Dowe, D.L., Hibbard, B., 2012, Turing machines and recursive Turing Tests, AISB/ICAP World Congress 2012: Revisiting Turing and his Test: Comprehensiveness, Qualia, and the Real World, 2 July 2012 to 6 July 2012, The Society for the Study of Artificial Intelligence and Simulation of Behaviour (AISB), Hove UK, pp. 28-33.

Hernandez-Orallo, J., Insa-Cabrera, J., Dowe, D.L., Hibbard, B., 2012, Turing test with Turing Machines, Turing-100: The Alan Turing Centenary, 22 June 2012 to 25 June 2012, EasyChair, Manchester UK, pp. 140-156.

Insa-Cabrera, J., Dowe, D.L., Espana-Cubillo, S., Hernandez-Lloreda, M.V., Hernandez-Orallo, J., 2011, Comparing humans and AI agents, Proceedings of the 4th International Conference on Artificial General Intelligence, 3 August 2011 to 6 August 2011, Springer-Verlag, Berlin Germany, pp. 122-132.

Dowe, D.L., Hernandez-Orallo, J., Das, P., 2011, Compression and intelligence: Social environments and communication, Proceedings of the 4th International Conference on Artificial General Intelligence, 3 August 2011 to 6 August 2011, Springer-Verlag, Berlin Germany, pp. 204-211.

Insa-Cabrera, J., Dowe, D.L., Hernandez-Orallo, J., 2011, Evaluating a reinforcement learning algorithm with a general intelligence test, Proceedings of the 14th Conference of the Spanish Association for Artificial Intelligence, 7 November 2011 to 11 November 2011, Springer-Verlag, Berlin Germany, pp. 1-11.

Hernandez-Orallo, J., Dowe, D.L., Espana-Cubillo, S., Hernandez-Lloreda, M.V., Insa-Cabrera, J., 2011, On more realistic environment distributions for defining, evaluating and developing intelligence, Proceedings of the 4th International Conference on Artificial General Intelligence, 3 August 2011 to 6 August 2011, Springer-Verlag, Berlin Germany, pp. 82-91.

Dowe, D.L., Zaidi, N.A., 2010, Database normalization as a by-product of minimum message length inference, Proceedings of the 23rd Australasian Joint Conference on Artificial Intelligence, 7 December 2010 to 10 December 2010, Springer-Verlag, Berlin Germany, pp. 82-91.

Visser, G., Dowe, D.L., Uotila, J.P., 2009, Enhancing MML clustering using context data with climate applications, Proceedings of the 22nd Australasian Joint Conference on Advances in Artificial Intelligence (AI 2009), 1 December 2009 to 4 December 2009, Springer-Verlag, Berlin Germany, pp. 350-359.

Visser, G., Dowe, D.L., Svalbe, I.D., 2009, Information-theoretic image reconstruction and segmentation from noisy projections, Proceedings of the 22nd Australasian Joint Conference on Advances in Artificial Intelligence (AI 2009), 1 December 2009 to 4 December 2009, Springer-Verlag, Berlin Germany, pp. 170-179.

Torsello, A., Dowe, D.L., 2008, Learning a generative model for structural representations, Proceedings of the 21st Australasian Joint Conference on Artificial Intelligence: Advances in Artificial Intelligence (AI 2008), 1 December 2008 to 5 December 2008, Springer-Verlag, Berlin Germany, pp. 573-583.

Fridkin, M., Dowe, D.L., Musgrave, S., 2008, Lexical access via phoneme to grapheme conversion, Proceedings of the Australasian Language Technology Association Workshop 2008, 8 December 2008 to 10 December 2008, Australian Language Technology Association, Sydney NSW Australia, pp. 28-36.

Torsello, A., Dowe, D.L., 2008, Supervised learning of a generative model for edge-weighted graphs, Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 8 December 2008 to 11 December 2008, IEEE Computer Society, USA, pp. 1-4.

Tan, P.J., Dowe, D.L., Dix, T.I., 2007, Building classification models from microarray data with tree-based classification algorithms, Proceedings of the 20th Australian Joint Conference on Artificial Intelligence: Advances in Artificial Intelligence (AI 2007), 2 December 2007 to 6 December 2007, Springer, Berlin Germany, pp. 589-598.

Visser, G., Dowe, D.L., 2007, Minimum message length clustering of spatially-correlated data with varying inter-class penalties, Proceedings of the 6th IEEE/ACIS International Conference on Computer and Information Science, 11 July 2007 to 13 July 2007, IEEE Computer Society, Los Alamitos CA USA, pp. 17-22.

Dalgleish, A.P., Dowe, D.L., Svalbe, I.D., 2007, Tomographic reconstruction of images from noisy projections: A preliminary study, Proceedings of the 20th Australian Joint Conference on Artificial Intelligence: Advances in Artificial Intelligence (AI 2007), 2 December 2007 to 6 December 2007, Springer, Berlin Germany, pp. 539-548.

Tan, P.J., Dowe, D.L., 2006, Decision forests with oblique decision trees, Proceedings of the 5th Mexican International Conference on Artificial Intelligence: Advances in Artificial Intelligence (MICAI 2006), 13 November 2006 to 17 November 2006, Springer-Verlag, Germany, pp. 593-603.

Maheswaran, T., Sanjayan, G., Dowe, D.L., Tan, J.P., 2006, MML mixture models of heterogeneous Poisson processes with uniform outliers for bridge deterioration, A1 2006: Advances in Artificial Intelligence: Proceedings of the 19th Australian Joint Conference on Artificial Intelligence, 4 December 2006 to 8 December 2006, Springer, Berlin Germany, pp. 322-331.

Molloy, S.B., Albrecht, D.W., Dowe, D.L., Ting, K.M., 2006, Model-based clustering of sequential data, Proceedings of the 5th Annual Hawaii International Conference on Statistics, Mathematics & Related Fields, 16 January 2006 to 18 January 2006, Hawaii International Conferences, Honolulu USA, pp. 1233-1254.

Kornienko, L., Albrecht, D.W., Dowe, D.L., 2005, A preliminary MML linear classifier using principal components for multiple classes, Proceedings of the 18th Australian Joint Conference on Artificial Intelligence: Advances in Artificial Intelligence (AI 2005), 5 December 2005 to 9 December 2005, Springer-Verlag, Berlin Germany, pp. 922-926.

Ooi, J.N., Dowe, D.L., 2005, Inferring phylogenetic graphs of natural languages using minimum message length, Proceedings of the 11th Conference of the Spanish Association for Artificial Intelligence, 16 November 2005 to 18 November 2005, CopyNino, Santiago de Compostela Spain, pp. 143-152.

Sak, M., Dowe, D.L., Ray, S., 2005, Minimum message length moving average time series data mining, Proceedings of the 2005 ICSC Congress on Computational Intelligence: Methods and Applications, 15 December 2005 to 17 December 2005, IEEE, Piscataway NJ USA, pp. 1-6.

Collie, M.J., Dowe, D.L., Fitzgibbon, L.J., 2005, Stock market simulation and inference technique, Proceedings of the Fifth International Conference on Hybrid Intelligent Systems, 06 November 2005 to 09 November 2005, IEEE Computer Society, Los Alamitos USA, pp. 534-538.

Tan, J.P., Dowe, D.L., 2004, MML inference of oblique decision trees, Proceedings of the 17th Australian Joint Conference on Artificial Intelligence: Advances in Artificial Intelligence (AI 2004), 4 December 2004 to 6 December 2004, Springer-Verlag Berlin, Berlin Germany, pp. 1082-1088.

Bickerstaffe, A.C., Dowe, D.L., 2004, MML-based compressive models for musical melody, Proceedings of the Fourth International ICSC Symposium on Engineering of Intelligent Systems - EIS 2004, 29 February 2004 to 02 March 2004, ICSC academic press, Canada, pp. 1-6.

Fitzgibbon, L.J., Dowe, D.L., Vahid-Araghi, F., 2004, Minimum Message Length autoregressive model order selection, Proceedings of the International Conference on Intelligent Sensing and Information Processing - 2004, 04 January 2004 to 07 January 2004, IEEE Operations Center, Piscataway NJ USA, pp. 439-444.

Fitzgibbon, L.J., Dowe, D.L., Allison, L., 2003, Bayesian posterior comprehension via Message from Monte Carlo, Proceedings of the 2003 Hawaii International Conference on Statistics and Related Fields, The Second Annual Conference, 05 June 2003 to 08 June 2003, Hawaii International Conference on Statistics, Honolulu USA, pp. 1-21.

Agusta, Y., Dowe, D.L., 2003, Clustering of Gaussian and t distributions using Minimum Message Length, Artificial Intelligence: Theory and Practice, Proceedings of the International Conference on Knowledge Based Computer Systems (KBCS 2002), 18 December 2002 to 21 December 2002, Vikas Publishing House Pvt Ltd, Jangpura India, pp. 289-299.

Comley, J.W., Dowe, D.L., 2003, General Bayesian networks and asymmetric languages, Proceedings of the 2003 Hawaii International Conference on Statistics and Related Fields, The Second Annual Conference, 05 June 2003 to 08 June 2003, Hawaii International Conference on Statistics, Honolulu USA, pp. 1-18.

Tan, P.J., Dowe, D.L., 2003, MML inference of decision graphs with multi-way joins and dynamic attributes, Proceedings of the 16th Australian Conference on AI: Advances in Artificial Intelligence (AI 2003, 3 December 2003 to 5 December 2003, Springer-Verlag, Berlin Germany, pp. 269-281.

Makalic, E., Allison, L., Dowe, D.L., 2003, MML inference of single-layer neural networks, Proceedings of the IASTED International Conference on Artificial Intelligence and Applications, 08 September 2003 to 10 September 2003, The International Associaion of Science and Technology for Development, Anaheim CA USA, pp. 636-642.

Agusta, Y., Dowe, D.L., 2003, Unsupervised learning of Gamma mixture models using Minimum Message Length, Proceedings of the IASTED International Conference on Artificial Intelligence and Applications (AIA 2003), 08/09/2003 to 10/09/2003, ACTA Press, Anaheim USA, pp. 457-462.

Agusta, Y., Dowe, D.L., 2003, Unsupervised learning of correlated multivariate Gaussian mixture models using MML, Proceedings of the 16th Australian Conference on AI: Advances in Artificial Intelligence (AI 2003, 3 December 2003 to 5 December 2003, Springer-Verlag, NY USA, pp. 477-489.

Fitzgibbon, L.J., Dowe, D.L., Allison, L., 2002, Univariate polynomial inference by Monte Carlo message length approximation, Machine Learning: Proceedings of the Nineteenth International Conference, 08 July 2002 to 12 July 2002, Morgan Kaufmann Publishers, Inc., San Francisco USA, pp. 147-154.

Clarke, D.M., Smith, G.C., Dowe, D.L., McKenzie, D.P., 2000, An Empirically Derived Taxonomy of Common Psychiatric Distress in the Medically Ill, The Australasian Society for Psychiatric Research 2000 Annual Scientific Meeting & Meeting of the Australasian Society for Biological Psychiatry, Adelaide SA, 6-8 December 2000.

Dowe, D.L., Prank, K., 1999, Information-Theoretic Approaches to Biology, Proceedings of the Pacific Symposium on Biocomputing '99 (PSB-99), Hawaii USA, 4-9 January, 1999, World Scientific Publishing Co. Pte. Ltd., SINGAPORE, pp. 252-253.

Dowe, D.L., Hajek, A.R., 1998, A Non-Behavioural, Computational Extension to the Turing Test, Proceedings of the International Conference on Computational Intelligence and Multimedia Applications, Gippsland VIC, 9-11 February 1998, World Scientific Publishing Co, Singapore, pp. 101-106.

Powell, D.R., Allison, L., Dix, T.I., Dowe, D.L., 1998, Alignment of Low Information Sequences, Australian Computer Science Communications: Proceedings of the 4th Australasian Theory Symposium: Computing Theory '98, Perth WA, 2-3 February 1998, Springer-Verlag, Singapore, pp. 215-229.

Pringle, G., Allison, L., Dowe, D.L., 1998, What is a Tall Poppy Among Web Pages, Computer Networks and ISDN Systems: Proceedings of the 7th International World Wide Web Conference, Brisbane QLD, 14-18 April 1998, Elsevier Science, Netherland, pp. 369-377.

Edgoose, T.C., Allison, L., Dowe, D.L., 1997, An MML classification of protein structure that knows about angles and sequence, Pacific Symposium on Biocomputing '98, Maui Hawaii USA, 4-9 January 1998, World Scientific Publishing, Singapore, pp. 585-596.

Dowe, D.L., Prank, K., 1997, Complexity and information-theoretic approaches to biology, Pacific Symposium on Biocomputing '98, Maui Hawaii USA, 4-9 January 1998, World Scientific Publishing, Singapore, pp. 559-560.

Powell, D.R., Dowe, D.L., Allison, L., Dix, T.I., 1997, Discovering simple DNA sequences by compression, Pacific Symposium on Biocomputing '98, Mauii Hawaii USA, 4-9 January 1998, World Scientific Publishing, Singapore, pp. 597-608.

Dowe, D.L., 1997, Inference and prediction via MML, Bayesianism and Kolmogorov complexity, International Society for Bayesian Analysis (ISBA) Fifth World Meeting Scientific Program & Abstracts, Istanbul Turkey, 15-18 August 1997, International Society for Bayesian Analysis, Pittsburgh PA USA, p. 30.

Wallace, C.S., Dowe, D.L., 1997, MML mixture modelling of multi-state, Poisson, von Mises circular and Gaussian distributions, Sixth International Workshop on Artificial Intelligence and Statistics, Fort Lauderdale USA, 4-7 January 1997, Society for AI and Statistics, San Francisco USA, pp. 529-536.

Wallace, C.S., Dowe, D.L., 1997, 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, Sydney Australia, 8-12 July 1996, Interface Foundation of North America Inc, Fairfax Station VA USA, pp. 608-613.

Dowe, D.L., Wallace, C.S., 1997, Resolving the Neyman-Scott problem by minimum message length, Computing Science and Statistics, Interface '96, Proceedings of the 28th Symposium on the Interface, Sydney Australia, 8-12 July 1996, Interface Foundation of North America Inc, Fairfax Station VA USA, pp. 614-618.

Other

Dowe, D.L., Hernandez-Orallo, J., 2011, Mammals, machines and mind games. Who’s the smartest?, The Conversation, The Conversation Media Trust, Melbourne Vic Australia.

Kornienko, L., Albrecht, D.W., Dowe, D.L., 2005, A Preliminary MML Linear ClassifierUsing Principal Components for Multiple Classes, Monash University, Melbourne Vic Australia, pp. 1-80.

Dowe, D.L., 2005, Even a Beautiful Mind Can't Tip a Winner, Periodical, Sunday Age, Melbourne Vic Australia.

Ooi, J.N., Dowe, D.L., 2005, Inferring Phylogenetic Graphs for Natural Languages using MML, Monash University, Melbourne Vic Australia, pp. 1-36.

Dowe, D.L., 2005, Tipsters Score Poorly, Periodical, Sunday Herald Sun, Melbourne Vic Australia.

Collie, M.J., Dowe, D.L., Fitzgibbon, L.J., 2005, Trading Rule Search with Autoregressive Inference Agents, Monash University, Melbourne Vic Australia, pp. 1-10.

Dowe, D.L., 2005, What to make of all the upsets in the AFL footy season so far and Monash University's Probabilistic Footy-Tipping Competition, Adelaide ABC 891 drive-time Radio Interview with Grant Cameron, Adelaide ABC Radio, Adelaide SA Australia.

Dowe, D.L., 2000, Grand Final and Essendon - Melbourne Probabilistic Tip, ABC 774 3LO Interview with Derek Guille, Commercial Radio Afternoon Program on ABC 774 3LO, Clayton Vic Australia.

Dowe, D.L., 2000, Monash Computer Football Tips, The Australian Newspaper - Sports Section, News Limited Corporation, Clayton Vic Australia.

Dowe, D.L., 2000, Probabilistic Footy-Tipping Competition, Southern (Community) Radio FM Radio Interview with David McMillan, 88.3 Southern (Community) FM Radio, Clayton Vic Australia.

Dowe, D.L., 2000, Probabilistic Footy-Tipping Competition and Melbourne - NM and Essendon - Carlton Tips, ABC 774 3LO Radio Interview with Derek Guille, Commercial Radio ABC 774 3LO, Clayton Vic Australia.

Dowe, D.L., 1999, Channel 7 TV News with Mike Amor, Channel 7 Evening TV News, Channel 7, Melbourne Vic Australia.

Dowe, D.L., Seemann, T., 1999, Flaming Ostrich Eyes 1999 Footy Title, Monash University News, Public Affairs, Clayton Vic Australia.

Dowe, D.L., 1999, Footy Tipping a Winner, Monash Memo, Monash Print Services, Caulfield Vic Australia.

Dowe, D.L., 1999, Net Footy for Students, Waverley Gazette, Leader Newspaper, Melbourne Vic Australia.

Dowe, D.L., 1999, Probable Tipsters, The Australian - Notebook - Schools Section.

Seemann, T., Dowe, D.L., Rosenberg, J., 1999, Safe Footy Bet on the Internet, Monash Post, Monash University, Clayton Vic Australia.

Dowe, D.L., 1999, School of Computer Science & Software Engineering Probabilistic Footy Tipping Competition, 3LO Interview with Lynne Haultain, Commercial Radio 3LO, Melbourne Vic Australia.

Dowe, D.L., 1999, Tip for Success: Forget Loyalty, The Times, Melbourne Vic Australia.

Dowe, D.L., 1998, Football Tipping with a Difference, Waverley Gazette, Leader Newspapers Melbourne Vic Australia.

Dowe, D.L., 1998, Monash Computer (David Dowe) Football Tips, The Australian Newspaper, News Limited Australia.

Dowe, D.L., 1998, North has the Numbers, Herald Sun, Herald and Weekly Times, Melbourne Vic Australia.

Dowe, D.L., 1998, One-eyed expert goes for Adelaide, The Weekend Australian, News Limited Australia.

Dowe, D.L., 1998, Prizes for 10 Tipsters, Waverley Gazette, Leader Newspapers Melbourne Vic Australia.

Dowe, D.L., 1998, Punters: the game's on, Monash News, University Marketing and Development, Monash Univ, Melbourne Vic Australia.

Dowe, D.L., 1998, You've Got To Be In It, Monash Memo, Monash Print Services, Melbourne Vic Australia.

Dowe, D.L., 1997, Boffins have the numbers, Herald Sun, Herald and Weekly Times, Melbourne Vic Australia.

Dowe, D.L., 1997, Probabilistic football prediction, 3AW Morning Show with Neil Mitchell, Commercial radio 3AW, Melbourne Vic Australia.

Dowe, D.L., 1997, Probabilistic football prediction, Tasmanian ABC radio 7ZR and 7NT with Jules Retrot, ABC, Tas Australia.

Teaching Commitment

Associate Professor David Dowe is the Chief Examiner for the following units in the Faculty of IT;

• FIT2014 - Theory of computation
• FIT5158 - Customer relationships and data mining

David teaches the following unit/s;

• FIT1004 - Data management
• FIT2014 - Theory of computation
• FIT5158 - Customer relationships and data mining

Grants

Title:

Collaborative Family Work in Youth Justice: A model for reducing recidivism in young offenders.

Investigators:

Trotter, C, Dowe, D

Funding:

(2011 - 2015). Australian Research Council (ARC).

(2011 - 2015). NSW Department of Human Services (Juvenile Justice).

(2012 - 2016). Australian Research Council (ARC).

(2012 - 2016). NSW Department of Human Services (Juvenile Justice).

Title:

Developing Minimum Message Length and Support Vector Machine methods to predict user behaviour.

Investigators:

Albrecht, D, Ting, K, Dowe, D, Kowalczyk, A

Funding:

(2002 - 2006). Australian Research Council (ARC).

(2002 - 2006). Monash University.

(2002 - 2007). Telstra Corporation Ltd.

(2008 - 2012). Australian Research Council (ARC).

(2008 - 2012). Telstra Corporation Ltd.

Title:

Efficient pooling of cross-section and time series data using Bayesian machine learning with two econometric applications.

Investigators:

Dowe, D, Vahid-Araghi, F

Funding:

(2003 - 2007). Australian Research Council (ARC).

(2003 - 2009). Australian Research Council (ARC).

(2007 - 2011). Australian Research Council (ARC).

Title:

Improved determination of predictors of emergency patient outcome via Minimum Message Length statistical machine learning.

Investigators:

Dowe, D

Funding:

(2008 - 2012). Monash University.

Title:

Minimum Message Length inference methods as a basis for the analysis and processing of remote sensing image and time-series data.

Investigators:

Dowe, D, Tan, P, Visser, G

Funding:

(2007 - 2011). Geoscience Australia.

Title:

Philosophical Foundations for Probabilistic Inference and Probabilistic Prediction.

Investigators:

Oppy, G, Dowe, D

Funding:

(2003 - 2009). Australian Research Council (ARC).

Title:

Rating and ranking sports players and teams using Minimum Message Length.

Investigators:

Dowe, D, Barnett, T, Khanna, A

Funding:

(2010 - 2014). Australian Research Council (ARC).

(2010 - 2014). Cadability Pty Ltd.

Title:

Identifying connectivity types in coastal wetland systems and responses to climate change: innovative synergies between remote sensing, biology, hydrology, statistics.

Investigators:

Dale, P, Dale, M, Dowe, D, Sheaves, M, Knight, J

Funding:

(2007 - 2011). Australian Research Council (ARC).

Postgraduate Research Supervisions

Current Supervision

Program of Study:

(DOCTORATE BY RESEARCH).

Thesis Title:

An approach to encourage participation in large scale distributed systems.

Supervisors:

Khan, A (Main), Dowe, D (Associate).

Program of Study:

(DOCTORATE BY RESEARCH).

Thesis Title:

Quantifying vasculature changes using susceptibility weighted imaging and analysis techniques.

Supervisors:

Dowe, D (Main), Barnes, D (Associate), Raniga, P (Associate), Egan, G (Associate).

Program of Study:

(DOCTORATE BY RESEARCH).

Thesis Title:

Rating and ranking sports players and teams using Minimum Message Length.

Supervisors:

Li, Y (Main), Dowe, D (Associate).

Completed Supervision

Student:

Agusta, Y.

Program of Study:

MINIMUM MESSAGE LENGTH MIXTURE MODELLING FOR UNCORRELATED AND CORRELATED CONTINUOUS DATA APPLIED TO MUTUAL FUNDS CLASSIFICATION. (PHD) 2004.

Supervisors:

Dowe, D (Main), Lajbcygier, P (Associate).

Student:

Bickerstaffe, A.

Program of Study:

Minimum message length analysis of discrete sequential data. (PHD) 2008.

Supervisors:

Tischer, P (Main), Dowe, D (Associate).

Student:

Comley, J.

Program of Study:

MACHINE LEARNING WITH GENERALISED TREE-BASED BAYESIAN NETWORKS, DECISION TREES AND MML. (PHD) 2005.

Supervisors:

Dowe, D (Main), Allison, L (Joint).

Student:

Fitzgibbon, L.

Program of Study:

MESSAGE FROM MONTE CARLO: A FRAMEWORK FOR MINIMUM MESSAGE LENGTH INFERENCE USING MARKOV CHAIN MONTE CARLO METHODS. (PHD) 2004.

Supervisors:

Allison, L (Main), Dowe, D (Joint).

Student:

Kornienko, L.

Program of Study:

Implementing a Support Vector Machine in a Message Length Framework. (Masters) 2005.

Supervisors:

Albrecht, D (Joint-Co), Dowe, D (Joint-Co).

Student:

Schmidt, D.

Program of Study:

Minimum message length inference of autoregressive moving average models. (PHD) 2008.

Supervisors:

Paplinski, A (Main), Dowe, D (Associate), Lowe, G (Associate).

Student:

Viswanathan, M.

Program of Study:

TOWARDS ROBUST DISCOVERY SYSTEMS. (PHD) 2003.

Supervisors:

Korb, K (Main), Dowe, D (Associate).