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Primary supervisor Levin Kuhlmann Research area Machine Learning This project involves model-based depth of anaesthesia monitoring using autoregressive moving average modelling and neural mass and
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mental models of the actors involved in AI systems, designers, agents and users and expand on the "Model Reconciliation Problem" or reconciling the different actors' beliefs and intentions. We will
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mental models of the actors involved in AI systems, designers, agents and users and expand on the "Model Reconciliation Problem" or reconciling the different actors' beliefs and intentions. We will
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Primary supervisor Levin Kuhlmann Research area Machine Learning This project involves model-based depth of anaesthesia monitoring using autoregressive moving average modelling and neural mass and
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music and movement have always been intrinsically linked, the rise of the laptop DJ broke that nexus. At worst, stagecraft has recently been reduced to little more than email checking performances. The
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music and movement have always been intrinsically linked, the rise of the laptop DJ broke that nexus. At worst, stagecraft has recently been reduced to little more than email checking performances. The
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Primary supervisor Enes Makalic Research area Machine Learning Minimum Message Length (MML) is an elegant information-theoretic framework for statistical inference and model selection developed by
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Primary supervisor Enes Makalic Research area Machine Learning Minimum Message Length (MML) is an elegant information-theoretic framework for statistical inference and model selection developed by
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" that explains the world from observations rather than acting in it, combining a world model that generates explanatory theories with a question-answering inference machine, and operating with explicit
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" that explains the world from observations rather than acting in it, combining a world model that generates explanatory theories with a question-answering inference machine, and operating with explicit