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01:15 Reflecting on Experience Reflecting on Experience	Reflecting on Experience Reflecting on Experience (1:14) career service reflection stages models structure experience task guidance similarities structures plan action conclusion analysis evaluation feelings description experiences cycle gibbs future From Jane Challinor on July 30th, 2021 0 likes 6 plays 0 Licence Type All rights reserved Date Created July 7th, 2021
21:11 Episode 1 - Anders Björklund and Stephen… Episode 1 - Anders Björklund and Stephen Dunnett	Episode 1 - Anders Björklund and Stephen Dunnett NECTAR 2021 conference podcast podcast parkinson's disease neurobiology cell therapy stem cells transplantation cells cell patients disease parkinson field therapy brain nectar meetings lot meeting ways models members lab trials focus colleagues From Stevie Bain on July 27th, 2021 0 likes 38 plays 0 Licence Type All rights reserved The University of Edinburgh
04:41 Open Education Awards for Excellence: Open… Open Education Awards for Excellence: Open Resilience Award.	Open Education Awards for Excellence: Open Resilience Award. The Open Education Resource Service's submission for the Open Education Awards for Excellence: Open Resilience Award. oer open education open educational resources access resources pandemic colleagues knowledge challenges commitment care teaching collection schools media courses models licence workshops evidence materials feet From Stephanie Farley on July 15th, 2021 0 likes 2 plays 0 Licence Type All rights reserved The University of Edinburgh Date Created July 15th, 2021
10:44 XAI Lecture Recording - Future Directions (Part 2) XAI Lecture Recording - Future Directions (Part 2)	XAI Lecture Recording - Future Directions (Part 2) This lecture will discuss the future of XAI. xai course xai explainable machine learning techniques model instance learning models machine explanations technique counterfactuals interpretability explanation stakeholders limitations hybrid lecture bias From Auste Simkute on July 7th, 2021 0 likes 3 plays 0 Course Code INFD11019 Licence Type All rights reserved Language English Date Created July 7th, 2021
08:42 XAI Lecture Recording - Future Directions (Part 1) XAI Lecture Recording - Future Directions (Part 1)	XAI Lecture Recording - Future Directions (Part 1) This lecture will discuss the future of XAI. xai xai course explainable machine learning machine model learning instance explanations ai decision counterfactuals feature interpretability models applications range pipeline methods diagnostics From Auste Simkute on July 7th, 2021 0 likes 3 plays 0 Course Code INFD11019 Licence Type All rights reserved Language English Date Created July 7th, 2021
07:23 XAI Lecture Recording - Deletion Diagnostics… XAI Lecture Recording - Deletion Diagnostics (Part 2)	XAI Lecture Recording - Deletion Diagnostics (Part 2) This lecture will cover the Deletion Diagnostics technique. xai xai course explainable machine learning instance model instances beta influence distance difference denominator parameters models regression linear diagnostics deletion numerator equation leverage coexistence From Auste Simkute on July 7th, 2021 0 likes 4 plays 0 Course Code INFD11019 Licence Type All rights reserved Language English Date Created July 7th, 2021
12:24 XAI Lecture Recording - Framework for XAI (Part 3) XAI Lecture Recording - Framework for XAI (Part 3)	XAI Lecture Recording - Framework for XAI (Part 3) This lecture will cover several frameworks outlining differences between transparent and opaque ML models, different XAI techniques, and types of explanations. xai xai course explainable machine learning techniques instance sense counterfactuals explanations examples model transparency framework decision models behaviour explanation features feature input technique limitations From Auste Simkute on July 7th, 2021 0 likes 3 plays 0 Course Code INFD11019 Licence Type All rights reserved Language English Date Created July 7th, 2021
09:43 XAI Lecture Recording - Framework for XAI (Part 2) XAI Lecture Recording - Framework for XAI (Part 2)	XAI Lecture Recording - Framework for XAI (Part 2) This lecture will cover several frameworks outlining differences between transparent and opaque ML models, different XAI techniques, and types of explanations. xai explainable machine learning xai course model techniques explanations models questions agnostic instance technique approaches linear feature counterfactuals trees explanation relevance branch From Auste Simkute on July 7th, 2021 0 likes 4 plays 0 Course Code INFD11019 Licence Type All rights reserved Language English Date Created July 7th, 2021
15:17 XAI Lecture Recording - Framework for XAI (Part 1) XAI Lecture Recording - Framework for XAI (Part 1)	XAI Lecture Recording - Framework for XAI (Part 1) This lecture will cover several frameworks outlining differences between transparent and opaque ML models, different XAI techniques, and types of explanations. xai explainable machine learning xai course model stakeholder models techniques technique decision questions rules shap points notion instances chapter instance features From Auste Simkute on July 7th, 2021 0 likes 6 plays 0 Course Code INFD11019 Licence Type All rights reserved Language English Date Created July 7th, 2021
17:57 Time Series: Nehali Mhatre Time Series: Nehali Mhatre	Time Series: Nehali Mhatre This talk has been automatically captioned. You can remove these by pressing CC on the video toolbar. Name: Nehali Mhatre Talk Title: Transformed-Linear Models for Time Series Extremes Abstract:… eva series measure models tail dependence model pdf vector numbers wind arma function tpd unit theta lag notion measures alpha ball From Belle Taylor on July 5th, 2021 0 likes 34 plays 0 Publisher Centre for Statistics Licence Type All rights reserved Language English Date Created July 5th, 2021
25:02 Networks : Pim van der Hoorn Networks : Pim van der Hoorn	Networks : Pim van der Hoorn This talk has been automatically captioned. You can remove these by pressing CC on the video toolbar. Name: Pim van der Hoorn Talk Title: Tails in networks: a tale of finding the right slope. … eva distribution function degree network networks model estimator degrees clustering nodes triangles error thing distributions question models estimators fraction problem structures From Belle Taylor on July 5th, 2021 0 likes 12 plays 0 Publisher Centre for Statistics’ Licence Type All rights reserved Language English Date Created July 2nd, 2021
16:15 Spatial Extremes: Zhongwei Zhang Spatial Extremes: Zhongwei Zhang	Spatial Extremes: Zhongwei Zhang This talk has been automatically captioned. You can remove these by pressing CC on the video toolbar. Name: Zhongwei Zhang Talk Title: Modeling Spatial Extremes Using Normal Mean-Variance… eva model distribution parameter tail dependence parameters models approach judge skewness study simulation likelihood applications coppola ita gamma properties copa sensor From Belle Taylor on July 5th, 2021 0 likes 7 plays 0 Publisher Centre for Statistics Licence Type All rights reserved
16:10 Graphical Models: Frank Röttger Graphical Models: Frank Röttger	Graphical Models: Frank Röttger This talk has been automatically captioned. You can remove these by pressing CC on the video toolbar. Name: Frank Röttger Talk Title: Total positivity in graphical extremes Abstract: Engelke… eva matrix positivity times distributions graph correlation precision sigma models distribution gaussians covariance independence sparsity tree condition entries examples entropy inverse From Belle Taylor on July 3rd, 2021 0 likes 25 plays 0 Publisher Centre for Statistics Licence Type All rights reserved Language English Date Created July 5th, 2021
14:27 Graphical Models: Manuel Hentschel Graphical Models: Manuel Hentschel	Graphical Models: Manuel Hentschel This talk has been automatically captioned. You can remove these by pressing CC on the video toolbar. Name: Manuel Hentschel Talk Title: Statistical inference for decomposable Hüsler-Reiss… eva matrix models graph completion theta entries structure sigma gamma matrices model independence problem graphs vector problems inference edges properties density From Belle Taylor on July 3rd, 2021 0 likes 17 plays 0 Publisher Centre for Statistics Licence Type All rights reserved Language English Date Created July 5th, 2021
22:42 Sparsity in High-Dimensional Extremes: Stanislav… Sparsity in High-Dimensional Extremes: Stanislav Volgushev	Sparsity in High-Dimensional Extremes: Stanislav Volgushev This talk has been automatically captioned. You can remove these by pressing CC on the video toolbar. Name: Stanislav Volgushev Talk Title: Tree structure learning for extremes Abstract: Extremal… eva distribution tree multivariate pareto distributions structure result graph edges vector models variables distances space vectors talk property mass k. condition From Belle Taylor on July 3rd, 2021 0 likes 28 plays 0 Publisher Centre for Statistics Licence Type All rights reserved Language English Date Created July 3rd, 2021
24:13 Asymptotic Statistics for Extremes : Michaël… Asymptotic Statistics for Extremes : Michaël Lalancette	Asymptotic Statistics for Extremes : Michaël Lalancette This talk has been automatically captioned. You can remove these by pressing CC on the video toolbar. Name: Michaël Lalancette Talk Title: Concentration and asymptotic normality of the… eva assumption kind model function distribution tail functions matrix graph observations sample burrito dependence result gamma variables estimation models structure integrals From Belle Taylor on July 2nd, 2021 0 likes 24 plays 0 Publisher Centre for Statistics Licence Type All rights reserved Language English Date Created July 2nd, 2021

Search for tag: "models"

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