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  2. Depth Uncertainty Networks for Active Learning

    https://www.mlmi.eng.cam.ac.uk/files/2020-2021_dissertations/depth_uncertainty_networks_for_active_learning_reduced.pdf
    15 Nov 2021: Depth Uncertainty Networks forActive Learning. Chelsea Murray. Department of EngineeringUniversity of Cambridge. This dissertation is submitted for the degree ofMaster of Philosophy in Machine Learning and Machine Intelligence. Corpus Christi
  3. v ContentsContributors viiFigures ixTables xiAbbreviations and sigla…

    https://www.arch.cam.ac.uk/files/fierce_lions_contents_0.pdf
    23 Nov 2021: constructed through predictive niche evaluation 200 Conclusions 201.
  4. UCL / UCLH

    https://www.research-strategy.admin.cam.ac.uk/files/epsrc_iaa_open_call_impact_grant_application_form_2022.docx
    17 Nov 2021: max 200 words). 5 PROJECT AIMS AND OBJECTIVES. What is the overall aim, and specific objectives of the project? ... max 200 words). University of Cambridge. EPSRC Impact Acceleration Account. Impact Grants 2022.
  5. 17 Nov 2021: Deep Learning for AutomaticAssessment and Feedback of Spoken. English. Konstantinos Kyriakopoulos. Supervisor: Prof. Mark J.F. Gales. Department of EngineeringUniversity of Cambridge. This thesis is submitted for the degree of Doctor of Philosophy.
  6. An Open Drug Discovery Competition: Experimental Validation of…

    www.tcm.phy.cam.ac.uk/~gjc29/papers/Todd20.pdf
    26 Nov 2021: There arecurrently more than 200 compounds in Series 4, with in vitropotencies against P. ... 58% runner-up. Slade Matthews (TheUniversity of Sydney). Random forest model using 200 mordred descriptors based on optimized 3D structures.

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