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Depth Uncertainty Networks for Active Learning
https://www.mlmi.eng.cam.ac.uk/files/2020-2021_dissertations/depth_uncertainty_networks_for_active_learning_reduced.pdf15 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 -
v ContentsContributors viiFigures ixTables xiAbbreviations and sigla…
https://www.arch.cam.ac.uk/files/fierce_lions_contents_0.pdf23 Nov 2021: constructed through predictive niche evaluation 200 Conclusions 201. -
UCL / UCLH
https://www.research-strategy.admin.cam.ac.uk/files/epsrc_iaa_open_call_impact_grant_application_form_2022.docx17 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. -
Deep Learning for Automatic Assessment and Feedback of Spoken English
mi.eng.cam.ac.uk/~mjfg/thesis_kk492.pdf17 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. -
An Open Drug Discovery Competition: Experimental Validation of…
www.tcm.phy.cam.ac.uk/~gjc29/papers/Todd20.pdf26 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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