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58:06 ASR Lecture 13 ASR Lecture 13	ASR Lecture 13 ASR Lecture 13: Speaker adaptation speech recognition speaker adaptation model parameters transform speech vector network methods gaussians term training idea linear scheme space bit gaussian variance matrix From Peter Bell on March 25th, 2021 0 likes 1 plays 0 Licence Type Creative Commons - Attribution Non Commercial Date Created March 29th, 2021
33:15 EEA 2021 - Analysis of Variance EEA 2021 - Analysis of Variance	EEA 2021 - Analysis of Variance Lecture on analysis of variance and parametric equivalents variance distribution categories flowers analysis groups test values variation model probability freedom degrees tests sample residuals linear parameters flower things From Kyle Dexter on March 4th, 2021 0 likes 41 plays 0 Licence Type Creative Commons - Attribution Non Commercial No Derivatives
56:44 Sara Wade & Karla Monterrubio-Gomez… Sara Wade & Karla Monterrubio-Gomez (Edinburgh): On MCMC for variationally sparse Gaussian processes: A pseudo-marginal approach.	Sara Wade & Karla Monterrubio-Gomez (Edinburgh): On MCMC for variationally sparse Gaussian processes: A pseudo-marginal approach. The subtitles/captions on this talk are being edited. They will be available within 2 weeks of the talk being published. 26 February 2021Sara Wade & Karla Monterrubio-Gomez (Edinburgh): On MCMC… statistics research function likelihood estimator scheme points covariance parameters process approximation hyperparameters matrix poisson block point quadrature log locations framework approach pseudo From OLLIE Quinn on March 1st, 2021 0 likes 12 plays 0 Licence Type All rights reserved Language English Date Created March 26th, 2021
48:21 UK-APASI in Mathematical Sciences: Graeme Ackland UK-APASI in Mathematical Sciences: Graeme Ackland	UK-APASI in Mathematical Sciences: Graeme Ackland Subtitles will be added soon. Wednesday 24 February 2021 UK-APASI in Mathematical Sciences Graeme Ackland, University of Edinburgh - Modelling and Data Challenges in a Pandemic model thing cases things models deaths epidemic bit variant sir fact graph kind test effect age ratio lot parameters immunity From Liam Holligan on February 24th, 2021 0 likes 7 plays 0 Publisher Liam Holligan Licence Type All rights reserved Language English Date Created February 24th, 2021
43:14 UK-APASI in Mathematical Sciences: John H.… UK-APASI in Mathematical Sciences: John H. Njagarah	UK-APASI in Mathematical Sciences: John H. Njagarah Subtitles will be added soon. Wednesday 24 February 2021 UK-APASI in Mathematical Sciences John H. Njagarah, Botswana International University - Sensitivity analysis of parameters of an epidemic… parameters values sensitivity parameter drug epidemic model analysis reproduction output respect influence individuals users change population cases isolation naught measure From Liam Holligan on February 24th, 2021 0 likes 6 plays 0 Publisher Liam Holligan Licence Type Creative Commons - Attribution Language English Date Created February 24th, 2021
48:43 UK-APASI in Mathematical Sciences: Eduard… UK-APASI in Mathematical Sciences: Eduard Campillo-Funollet (Sussex)	UK-APASI in Mathematical Sciences: Eduard Campillo-Funollet (Sussex) Subtitles will be added soon. Wednesday 24 February 2021 UK-APASI in Mathematical Sciences Eduard Campillo-Funollet - Parameter estimation of SIR models model cases parameters beta compartment models hospital population instance end gamma approach point equation study parameter questions question mother identification From Liam Holligan on February 24th, 2021 0 likes 7 plays 0 Publisher Liam Holligan Licence Type All rights reserved Language English Date Created February 24th, 2021
42:38 UK-APASI in Mathematical Sciences: Jane White… UK-APASI in Mathematical Sciences: Jane White (Lecture 6)	UK-APASI in Mathematical Sciences: Jane White (Lecture 6) Subtitles will be added soon. Tuesday 23 February 2021 UK-APASI in Mathematical Sciences Jane White - Incorporating behavioural change in models for infection dynamics population cases stigma mu individuals change opinion alpha fraction model thing things risk minus hiv parameters gamma pay point decision From Liam Holligan on February 23rd, 2021 0 likes 14 plays 0 Publisher Liam Holligan Licence Type All rights reserved Language English Date Created February 23rd, 2021
46:32 Mihaela Paun (Glasgow): Assessing model mismatch… Mihaela Paun (Glasgow): Assessing model mismatch and model selection in a Bayesian uncertainty quantification analysis of a fluid-dynamics model of pulmonary blood circulation	Mihaela Paun (Glasgow): Assessing model mismatch and model selection in a Bayesian uncertainty quantification analysis of a fluid-dynamics model of pulmonary blood circulation 5 February 2021Mihaela Paun (Glasgow): Assessing model mismatch and model selection in a Bayesian uncertainty quantification analysis of a fluid-dynamics model of pulmonary blood circulationThere… research statistics model parameters mismatch blood uncertainty errors pressure stiffness parameter vessel vessels flow space values covariance prediction artery matrix function patients From OLLIE Quinn on February 11th, 2021 0 likes 13 plays 0 Licence Type All rights reserved Language English Date Created February 5th, 2021
01:04:43 On the joint moments of characteristic… On the joint moments of characteristic polynomials of random unitary matrices - Theo Assiotis	On the joint moments of characteristic polynomials of random unitary matrices - Theo Assiotis VISS online seminar series On the joint moments of characteristic polynomials of random unitary matrices Theo Assiotis (Edinburgh) 10 February 2021 An automated programme is used to generate the… mathematics function expression moments integer measure matrix formula measures moment variable matrices probability parameters functions conjecture age point variables thing zeros From GILLIAN KERR on February 10th, 2021 0 likes 16 plays 0 Licence Type All rights reserved Language english Date Created February 10th, 2021
52:44 Agnieszka Borowska (Glasgow): Gaussian process… Agnieszka Borowska (Glasgow): Gaussian process enhanced semi-automatic approximate Bayesian computation: parameter inference in a stochastic differential equation system for chemotaxis	Agnieszka Borowska (Glasgow): Gaussian process enhanced semi-automatic approximate Bayesian computation: parameter inference in a stochastic differential equation system for chemotaxis Agnieszka Borowska (Glasgow): Gaussian process enhanced semi-automatic approximate Bayesian computation: parameter inference in a stochastic differential equation system for chemotaxis Chemotaxis is… statistics research parameters cell parameter abc regression features estimates model outputs points element point membrane process simulator step cases nodes instance distribution From OLLIE Quinn on February 4th, 2021 0 likes 11 plays 0 Licence Type All rights reserved Language English Date Created January 29th, 2021
12:13 FDS-S2-03-1-1 principle of A/B testing FDS-S2-03-1-1 principle of A/B testing	FDS-S2-03-1-1 principle of A/B testing We explain the principle of A/B testing, and how to derive confidence intervals for the difference in population proportions using the bootstrap. inf2-fds b. testing button minus times distribution a. bootstrap hat estimate parameters proportion difference estimators confidence method result chance estimates star From David Sterratt on January 28th, 2021 0 likes 161 plays 0 Course Code INFR08030 Publisher David Sterratt Licence Type Creative Commons - Attribution Non Commercial Language English Date Created January 28th, 2021
39:49 Luca Del Core (Groningen) - Stochastic modelling… Luca Del Core (Groningen) - Stochastic modelling of COVID-19 spread in Italy - 22nd Jan 2021	Luca Del Core (Groningen) - Stochastic modelling of COVID-19 spread in Italy - 22nd Jan 2021 22 January 2021Luca Del Core (Groningen) - Stochastic modelling of COVID-19 spread in Italy Italy was particularly hard hit during COVID-19 pandemic and the aim of this work is to describe the… research statistics region infection reaction rate parameters rates kind model formulation metrics reactions function framework deaths infections regions force point process approximation From OLLIE Quinn on January 25th, 2021 0 likes 46 plays 0 Licence Type All rights reserved Language English Date Created January 22nd, 2021
09:31 FDS-S2-01-2-1 Introduction to estimation FDS-S2-01-2-1 Introduction to estimation	FDS-S2-01-2-1 Introduction to estimation We'll introduce the concept of estimating a population or distribution parameter from a sample. inf2-fds distribution population estimator parameters parameter sample lambda deviation pizzas point cheese populations confidence median centre hat theta bit notation intervals From David Sterratt on January 14th, 2021 0 likes 204 plays 0 Course Code INFR08030 Publisher David Sterratt Licence Type Creative Commons - Attribution Non Commercial Language English Date Created January 14th, 2021
55:22 Ivan Oseledets 11 January 2021 Machine learning… Ivan Oseledets 11 January 2021 Machine learning and numerical methods	Ivan Oseledets 11 January 2021 Machine learning and numerical methods An automated programme has been used to generate the subtitles on this talk. icms owna function parameters optimization lot functions approximation basis problem model network idea samples linear method networks gradient image class output solution From OLLIE Quinn on January 11th, 2021 0 likes 124 plays 0 Course Code ICMS Publisher ICMS Licence Type All rights reserved Language English Date Created January 11th, 2021
49:18 NLU+ Lecture 5: Feed Forward Neural Networks NLU+ Lecture 5: Feed Forward Neural Networks	NLU+ Lecture 5: Feed Forward Neural Networks Feed Forward Neural Networks informatics nlu vector function model probability thing lot output word perceptron distribution things network words models bunch input parameters language regression matrix From Ruairi O'Hare on December 29th, 2020 0 likes 7 plays 0 Licence Type All rights reserved The University of Edinburgh Language English Date Created December 29th, 2020
48:25 Likely instabilities in liquid crystal elastomers… Likely instabilities in liquid crystal elastomers - Angela Mihai	Likely instabilities in liquid crystal elastomers - Angela Mihai Continuum Mechanics Seminar Series Angela Mihai (Cardiff University) Likely instabilities in liquid crystal elastomers Friday 18 December 2020 An automated programme is used to generate the subtitles… mathematics deformation stress material crystal rubber model behaviour load probability mu parameters gradient function direction elastomers director parameter striping elasticity variance From GILLIAN KERR on December 18th, 2020 0 likes 36 plays 0 Licence Type All rights reserved Language english Date Created December 18th, 2020

Search for tag: "parameters"

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