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Dowe, 1999a) ensures that - at least in principle, given enough search time - MML can infer any underlying computable model in a data-set. A consequence of this is that we can (e.g.) put latent factor
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field” imaging techniques to solve many important problems in biology and change clinical practice in respiratory medicine. Our ongoing research program involves developing new imaging technologies
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Answering over Knowledge Bases. Journal of Web Semantics, 2020. Hua, Yuncheng; Li, Yuan-Fang; Haffari, Reza; Qi, Guilin; Wu, Wei. Retrieve, Program, Repeat: Complex Knowledge Base Question Answering via
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Asahi Study Grant Monash Travel Support Grant The Asahi Study Grant is a $6000 travel scholarship created to support students in the University’s Japanese Studies Program to attend a study tour to
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of points for your degree are completed (excludes OSHC, accommodation and living costs). Participation in the Campus Ambassador Program from your second semester of study. Invitation to apply for a place in
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systems. The fast growth, practical achievements and the overall success of modern approaches to AI guarantees that machine learning AI approaches will prevail as a generic computing paradigm, and will find
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engages students actively and which effectively delivers learning outcomes. The preparation and delivery of lectures, seminars or workshops Supervision of a program of study of honours students
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* at a Monash campus in Australia: Bachelor of Engineering (Aerospace Engineering) Bachelor of Engineering (Electrical and Computer Systems Engineering) Bachelor of Engineering (Materials Engineering
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Background and Motivation Modern deep learning models have achieved remarkable success in computer vision and natural language processing. However, they typically produce overconfident predictions
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information on our practice-based PhD program, please see: https://sensilab.monash.edu/work-with-us/practice-based-phd/