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  1. 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.

  2. 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 5,121‬‬ - ‪Artificial Intelligence‬ - ‪Machine Learning‬ - ‪Statistics‬ - ‪minimum message length‬ - ‪MML‬.

  3. 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)

  4. Meet our members. Here are the experts who are innovating to expand our understanding of machine learning.

  5. 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.

  6. 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 .

  7. Lara Kornienko, David W. Albrecht, David L. Dowe: A Preliminary MML Linear Classifier Using Principal Components for Multiple Classes. Australian Conference on Artificial Intelligence 2005 : 922-926