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Monash teaching commitment. Associate Professor David Dowe has experience as the Chief Examiner for the following units in the Faculty of IT: FIT4009 Advanced topics in intelligent systems. FIT5158 Customer relationship management and data mining.
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2003–present Associate Professor (Computer Science, Artificial Intelligence, Machine Learning, Data Science), Monash University
2016 ``Computer models solving intelligence test problems: Progress and implications'', Artificial Intelligence Journal, Volume 230, pp74-1072011 "MML, hybrid Bayesian network graphical models, statistical consistency, invariance & uniqueness", Handbook of Philos of Sci (Vol. 7: Handbook of Philosophy of Statistics), Elsevier, pp901-982,2010 ``Measuring Universal Intelligence: Towards an Anytime Intelligence Test'', Artificial Intelligence journal, Vol 174, Issue 18, December 2010, pp1508-1539,2008 ``Foreword re C. S. Wallace'', Computer Journal, Vol. 51, No. 5 (Sept. 2008), pp523-560,Statistical Theory (010405)Coding And Information Theory (080401)Pattern Recognition And Data Mining (080109)Artificial Intelligence And Image Processing Not Elsewhere Classified (080199)My paid research invitations include at least twice as an invited conference speaker in the northern hemisphere.My Wallace & Dowe (1999a) and my Hernandez-Orallo & Dowe (2010) have both been the most downloaded articles in their respective journals.
David L Dowe. Monash University. Verified email at monash.edu - Homepage. Artificial Intelligence Machine Learning Statistics minimum message length MML. Articles 1–20. Monash University - Cited by 5,198 - Artificial Intelligence - Machine Learning - Statistics - minimum message length - MML.
View David Dowe’s profile on LinkedIn, a professional community of 1 billion members. Strategy development, business planning · Experience: Mindraft · Education: University of Cambridge ·...
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David Dowe (and publications): See Snob by C. Wallace and D. Dowe. Has published on mixture modelling of Gaussians with factor analysis (with R. Edwards, 1998), and (with Y. Agusta) other correlated Gaussians (2003, .pdf), t distributions and Gamma distributions .
David L. Dowe's 141 research works with 3,258 citations and 9,891 reads, including: MML Learning and Inference of Hierarchical Probabilistic Finite State Machines.
David Dowe. School of Computer Science & SE, Clayton School of I.T., Bldg 63, Monash University, Clayton, Vic. 3800, Australia. Postdoc available (Postdoctoral Fellowship job available, deadline: 31 July 2016) : Research Fellow in Statistics, Machine Learning, Mixture Modelling, Latent Factor Analysis and Astrophysics (deadline 31/July/2016 ...
