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The world is dynamic, in constant flux. However, machine learning typically learns static models from historical data. As the world changes, these models decline in performance, sometimes
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offers an unparalleled opportunity to lead academic and clinical research strategy across one of the nation’s most dynamic health partnerships. As Dean, Sub-Faculty of Clinical and Molecular Medicine, you
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-9. [Final camera ready copy was submitted in October 2003.] D. L. Dowe (2008a), "Foreword re C. S. Wallace", Computer Journal, Vol. 51, No. 5 (Sept. 2008) [Christopher Stewart WALLACE (1933-2004
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to devise adaptive models that take into account the dynamically changing characteristics of environments and detect anomalies in ‘evolving’ data. Over the last two decades, many algorithms have been proposed
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Australian Laureate Fellowship research project Temporal Analytics for a Complex, Dynamic and Ever‑Changing World. You will be responsible for developing new temporal analysis methods, implementing software
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acquisition, evidence-based decision making and the management of electronic resources? Join us in supporting Monash University’s research and learning mission through our dynamic, user-focused library
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and/or author royalty statements would be an advantage. This is a rare opportunity to join a dynamic university publisher and lead sales growth. This position is based at the Clayton campus. Flexible
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The world is dynamic and in a constant state of flux, yet most machine learning models learn static models from a dataset that represents a single snapshot in time. My group's research is
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. Pitt (eds.), Advances in Minimum Description Length: Theory and Applications, M.I.T. Press (MIT Press), April 2005, ISBN 0-262-07262-9. [Final camera ready copy was submitted in October 2003.] Fitzgibbon
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The Opportunity Join a dynamic team at the forefront of research excellence as our Data Governance Specialist. In this pivotal role, you’ll be the trusted adviser and technical lead driving data quality across