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of people with disability. These might, for instance, utilise conversational agents, computer vision, mixed reality, wearables etc. Disability, Technology, and Society: Research with a sociological or
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. (2005), ``Statistical and Inductive Inference by Minimum Message Length '', Springer (Link to the preface [and p vi , also here ]) Wallace, C.S. and D.M. Boulton (1968), ``An information measure for
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information about behavioural patterns, but scoring this manually is time consuming. For this reason, machine learning solutions have been developed to automate behavioural prediction [5-12]. DeepLabCut [5] is
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opportunities for a dynamic, ‘Learning Health System’ – where data can be harnessed to inform real-time and personalised decision-making. Existing linked administrative databases already capture Australian women
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and communication skills in healthcare. You will use sensor-technology to capture multimodal ‘trace’ data including gestures, speech, workspace spatial layout and manual handling of objects. You will
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this website but submit the Expression of Interest via the Monash Data Futures Institute Application Link: https://www.monash.edu/data-futures-institute/study/phd-scholarship/mobility-data-driven-planning
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'', Springer (Link to the preface [and p vi , also here ]) Wallace, C.S. and D.M. Boulton (1968), ``An information measure for classification'', Computer Journal, Vol 11, No 2, August 1968, pp 185-194 Wallace
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Message Length '', Springer (Link to the preface [and p vi , also here ]) Wallace, C.S. and D.L. Dowe (1999a). Minimum Message Length and Kolmogorov Complexity , Computer Journal (special issue on
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challenging data problem. Weak signals from collisions of compact objects can be dug out of noisy time series because we understand what the signal should look like, and can therefore use simple algorithms
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back at least as far as 1954 (Dowe, 2008a, sec. 1, pp549-550). Discussion of how to do this using the Bayesian information-theoretic minimum message length (MML) approach (Wallace and Boulton, 1968