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for inference, yet differs from standard Bayesian approaches through its information-theoretic foundation. The MML87 approximation achieves computational tractability while remaining virtually identical to Strict
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operators for these notions. Over the past fifty years, such non-classical logics have proved vital in computer science and logic-based artificial intelligence: after all, any intelligent agent must be able
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In NeuroDistSys (NDS): Optimized Distributed Training and Inference on Large-Scale Distributed Systems, we aim to design and implement cutting-edge techniques to optimize the training and inference
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cooperating with each other, but in many cases competing for individual gains. This structure may not always work for the benefit of science. The purpose of this project is to use game theory and computational
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'', Springer (Link to the preface [and p vi, also here]) Wallace, C.S. and D.L. Dowe (1994b), Intrinsic classification by MML - the Snob program. Proc. 7th Australian Joint Conf. on Artificial Intelligence, UNE
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supervisors, read about our research strengths and initiate an application, all in one place. Browse Research projects Honours and Masters project Supervisors Login Recently added Blackbox Optimization
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Masters project Supervisors Login Recently added Blackbox Optimization of Unknown Functions Quantum-Enhanced Learning Analytics for Adaptive Early Intervention in Higher Education Bayesian Uncertainty
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schools as part of the Access Monash Mentoring Program, giving you the opportunity to develop your leadership, public speaking and teamwork skills. The Gandel family have a close connection with Monash
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management expertise Ensure alignment with architectural standards and business process optimization The Opportunity We’re seeking an Infrastructure Migration Lead to direct and deliver the technical
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the Faculty of Science. We will apply Bayesian approaches such as the information-theoretic minimum message length (MML) principle and other approaches to develop a path towards statistically-optimal algorithms