Search for tag: "ensemble"

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Lived in Heritage 14 September 2022 duration 2 hours 2 minutes Lived in Heritage 14 September 2022 Lived in Heritage 14 September 2022	Lived in Heritage 14 September 2022 Lived-in Heritage: Perspectives on European Cultural Landscapes from Architecture SchoolsA collaborative project funded by the European Council for the European Heritage Days 2022 between the Faculty… heritage ukraine building path workshop street floor europe students colleagues ensemble column presentation presentations 80s centre monuments programme construction romania From Ruxandra-Iulia Stoica 0 likes 8 plays 0 Publisher Scottish Centre for Conservation Studies Licence Type All rights reserved Language English Date Created September 14th, 2022 Retain Source File Yes
XAI Lecture Recording: InTrees (Part 1) duration 4 minutes 24 seconds XAI Lecture Recording: InTrees (Part 1) XAI Lecture Recording: InTrees (Part 1)	XAI Lecture Recording: InTrees (Part 1) This lecture will cover InTrees, which is a model-specific XAI method for tree ensembles. xai xai course explainable machine learning rules trees tree technique interests frequency interpretability ensemble model ensembles entries error approval roads length errors From Auste Simkute 0 likes 38 plays 0 Course Code INFD11019 Licence Type All rights reserved Language English Date Created July 7th, 2021
One World Virtual Seminar Series - Stochastic… duration 55 minutes 17 seconds One World Virtual Seminar Series - Stochastic… One World Virtual Seminar Series - Stochastic Numerics and Inverse Problems: Andrew Stuart	One World Virtual Seminar Series - Stochastic Numerics and Inverse Problems: Andrew Stuart One World Virtual Seminar Series - Stochastic Numerics and Inverse Problems: Andrew Stuart (Caltech) Inverse Problems Without Adjoints:Ensemble Approaches Automatic subtitles have been added to this… icms stochastic numerics inverse problems gradient flow linear equation ensemble method methods gradient problem model parameter planck inverse problems covariance particles talk particle flow fact space rho From Jane Walker 0 likes 146 plays 0 Publisher Diane Hoberry Licence Type All rights reserved Language English Date Created March 3rd, 2021
Topic 65: Time Averages and Ergodicity (PETARS,… duration 26 minutes 59 seconds Topic 65: Time Averages and Ergodicity (PETARS,… Topic 65: Time Averages and Ergodicity (PETARS, Chapter 8)	Topic 65: Time Averages and Ergodicity (PETARS, Chapter 8) This Topic introduces the notion of estimating statistical averages from a single realisation of a stochastic process. This concept is most easily developed for estimating first and second… pgee11164 average process ensemble variance ergodicity realisation infinity sense minus covariance function realisations chapter processes term samples sequence estimator sample estimation From James Hopgood 0 likes 319 plays 0 Course Code PGEE11164 Licence Type All rights reserved Date Created November 12th, 2020
Topic 59: Introduction to Stochastic Processes… duration 13 minutes 23 seconds Topic 59: Introduction to Stochastic Processes… Topic 59: Introduction to Stochastic Processes (PETARS, Chapter 8)	Topic 59: Introduction to Stochastic Processes (PETARS, Chapter 8) In this first video of the Statistical Signal Processing part of the PETARS course, the notion of random signals, or stochastic processes is introduced. It is defined as a natural extension to… pgee11164 process sequence signals ensemble processes outcome outcomes sample interpretations space function point variables linear realizations handout signal probability diagram vectors From James Hopgood 0 likes 259 plays 0 Course Code PGEE11164 Licence Type All rights reserved Date Created November 1st, 2020
Andrew Zammit Mangion (University of Wollongong) … duration 43 minutes 2 seconds Andrew Zammit Mangion (University of Wollongong) … Andrew Zammit Mangion (University of Wollongong) Title: Statistical Machine Learning for Spatio-Temporal Forecasting	Andrew Zammit Mangion (University of Wollongong) Title: Statistical Machine Learning for Spatio-Temporal Forecasting Andrew Zammit Mangion (University of Wollongong)Title: Statistical Machine Learning for Spatio-Temporal ForecastingAbstract: Conventional spatio-temporal statistical models are well-suited for… statistics research parameters cnn model diffusion advection process space ide kernel equation convolution models ensemble network parameter images sea temperature likelihood uncertainty From Greg McCracken 0 likes 63 plays 0 Licence Type All rights reserved Language English Date Created September 17th, 2020