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50:22 Mu Niu (University of Glasgow) INTRINSIC GAUSSIAN… Mu Niu (University of Glasgow) INTRINSIC GAUSSIAN PROCESSES ON NONLINEAR MANIFOLDS AND POINT CLOUDS	Mu Niu (University of Glasgow) INTRINSIC GAUSSIAN PROCESSES ON NONLINEAR MANIFOLDS AND POINT CLOUDS 19 February 2021Mu Niu (University of Glasgow) INTRINSIC GAUSSIAN PROCESSES ON NONLINEAR MANIFOLDS AND POINT CLOUDSWe propose a class of intrinsic Gaussian processes (GPs) for interpolation,… statistics research space function kernel manifold gp prediction motion points point distance method manifolds probability heat neighbourhood matrix estimation observation geometry process From OLLIE Quinn on March 1st, 2021 0 likes 14 plays 0 Licence Type All rights reserved Language English Date Created March 19th, 2021
08:46 dapr1 - making decisions (d) dapr1 - making decisions (d)	dapr1 - making decisions (d) Part D uoepsy size effect distribution hypothesis sample significance centre distance statistics power statistic parameter values alternative week bye evidence times spread lecture From Umberto Noe on February 8th, 2021 0 likes 204 plays 0 Licence Type All rights reserved The University of Edinburgh
23:25 Measured Survey, Sketching, and Photography (part… Measured Survey, Sketching, and Photography (part 2)	Measured Survey, Sketching, and Photography (part 2) Recording Cultural Heritage: Measured Survey, Sketching, and Photography (part2), Dr. Ruxandra-Iulia Stoica architectural conservation facade building distance elements kind height laser measurements points windows point types phases room device angle paper shape interpretation context From Ruxandra Stoica on February 1st, 2021 0 likes 30 plays 0 Licence Type All rights reserved Date Created February 1st, 2021
10:24 dapr1 - hypothesis testing and CIs (a) dapr1 - hypothesis testing and CIs (a)	dapr1 - hypothesis testing and CIs (a) Part A uoepsy students hours sample week exercise difference question hypothesis means population fact observation bar l. values tests confidence answers distance fame From Umberto Noe on January 31st, 2021 0 likes 216 plays 0 Licence Type All rights reserved The University of Edinburgh
07:31 4.c 4.c	4.c The third video of the Inf2D lecture on Informed Search Algorithms. inf2d reasoning and agents artificial intelligence adversarial search tiles heuristics nodes heuristic problem place star lecture solution depth problems values squares puzzle distance functions relaxation hiding h1 solutions From Claudia-Elena Chirita on January 18th, 2021 0 likes 188 plays 0 Course Code INFR08010 Licence Type All rights reserved The University of Edinburgh Language English
09:50 4.a 4.a	4.a First video on Informed Search Algorithms. inf2d reasoning and agents artificial intelligence node function algorithm problem solution bucharest cost path distance evaluation kilometres complexity functions goal heuristic estimate tree algorithms distances knowledge From Claudia-Elena Chirita on January 18th, 2021 0 likes 233 plays 0 Course Code INFR08010 Licence Type All rights reserved The University of Edinburgh Language English
20:56 REF2020: Maria Vittoria Garzelli- Heavy-quark… REF2020: Maria Vittoria Garzelli- Heavy-quark hadroproduction in different heavy-quark mass renormalization schemes: phenomenological	REF2020: Maria Vittoria Garzelli- Heavy-quark hadroproduction in different heavy-quark mass renormalization schemes: phenomenological REF2020: Maria Vittoria Garzelli- Heavy-quark hadroproduction in different heavy-quark mass renormalization schemes: phenomenological higgs centre ref2020 mass masses scale renormalization respect uncertainty distance fragmentation cross definition scheme production variation prediction difference mom ms m. radiation qcd From Lyndsey Ballantyne on December 15th, 2020 0 likes 5 plays 0 Licence Type All rights reserved The University of Edinburgh Date Created December 8th, 2020
21:51 Total Field Magnetic Anomalies Total Field Magnetic Anomalies	Total Field Magnetic Anomalies Introduction to Geophysics: Total Field Magnetic Anomalies geophysics geosciences field surveys anomaly survey body component surface direction lines magnitude delta pole observations vector variations points subsurface depth distance slide From Wyn Williams on December 14th, 2020 0 likes 34 plays 0 Course Code EASC08008 Licence Type All rights reserved The University of Edinburgh Language English Date Created December 14th, 2020
14:11 Kaltura Capture recording - November 14th 2020,… Kaltura Capture recording - November 14th 2020, 1:49:20 pm	Kaltura Capture recording - November 14th 2020, 1:49:20 pm lecture 9 part 1 rationalists leibniz lecture 9 part 1 body force bodies motion forces velocity times universe descartes monads moment amount leibnitz quantity mass decrease distance harmony substances substance From Pauline Phemister on November 14th, 2020 0 likes 9 plays 0 Course Code PHIL10086 Licence Type Creative Commons - Attribution Date Created November 14th, 2020
09:48 ML5: K-Nearest Neighbours Classification ML5: K-Nearest Neighbours Classification	ML5: K-Nearest Neighbours Classification In this video, we introduce the simplest classifier: the K-Nearest Neighbours classifier. This classifier has no trainable parameters, and classifies test points by finding its closest training… test point training neighbors class points classifier validation classification parameters hyperparameters vector dog george distance spam cat jackson vote step From Elliot Crowley on November 9th, 2020 0 likes 9 plays 0
08:32 ML2: Dimensionality Reduction ML2: Dimensionality Reduction	ML2: Dimensionality Reduction In this second video, we motivate why it is useful to reduce the dimensionality of your data, and describe how this can be done linearly, using a transformation matrix. We describe a setup whereby we… matrix reconstruction squiggle points dimensionality transpose transformation point column dataset reconstructions distance era columns dimensions inverse rows dimension x. distances From Elliot Crowley on November 5th, 2020 0 likes 13 plays 0
03:02 PATIL_Rutuja PATIL_Rutuja	PATIL_Rutuja PLEASE NOTE: The video captions have been auto generatedStudent name: PATIL, Rutuja Presentation title: Feasibility of using a teleconsultation facility (Micro-Health Centre – MHC) in… respire asm diseases care healthcare tele patients facilitators leaders opinion diagnosis population infrastructure distance access platform science vb0 advice coordinate barriers drive From Claire Jankowska on November 3rd, 2020 0 likes 37 plays 0 Licence Type All rights reserved The University of Edinburgh Language English Date Created November 3rd, 2020
15:43 USMR lecture 7 part 2 USMR lecture 7 part 2	USMR lecture 7 part 2 independence; influence; model criticism usmr psychology ppls statistics rstats model observation age week observations reading plot dataset residuals outlier things hours distance practice influence dot graph correlation students predictors From Martin Corley on November 1st, 2020 0 likes 194 plays 0 Course Code PSYL11053 Licence Type Creative Commons - Attribution Language English Date Created November 1st, 2020
00:28 Zones of influence Zones of influence	Zones of influence Spatial distancing and the concept of zones of influence. By Glenna Nightingale and Jacqueline Aim. Copyright © University of Edinburgh 2020 CC BY-NC-SA This work is licensed under a Creative… spatial distance distancing spatial zones influence offices schools cafes degree overlap context impact individual division zone From Jacqueline Aim on October 22nd, 2020 1 likes 18 plays 0 Licence Type Creative Commons - Attribution Non Commercial Share A Like Language English
09:53 The Manifesto for Teaching Online: Dr Rory Ewins… The Manifesto for Teaching Online: Dr Rory Ewins asks 'Can we stop talking about digital natives?'	The Manifesto for Teaching Online: Dr Rory Ewins asks 'Can we stop talking about digital natives?' Can we stop talking about digital natives? The trope of the ‘digital native’ still continues to shape how many understand the challenge of teaching online. Rory Ewins discusses some of… students campus teaching manifesto place teachers natives immigrants technologies distance From Claire Sowton on October 12th, 2020 0 likes 55 plays 0 Publisher The University of Edinburgh Licence Type All rights reserved The University of Edinburgh Language English Date Created October 7th, 2020
07:45 The Manifesto for Teaching Online: Dr Phil Sheail… The Manifesto for Teaching Online: Dr Phil Sheail 'Distance: temporal, affective, political'	The Manifesto for Teaching Online: Dr Phil Sheail 'Distance: temporal, affective, political' Distance is temporal, affective, political. Distance education is often seen as a spatial challenge which can be overcome with communications technology. Philippa Sheail argues that digital… students campus teaching manifesto place teachers technologies distance temporalities From Claire Sowton on October 12th, 2020 0 likes 45 plays 0 Publisher The University of Edinburgh Licence Type All rights reserved The University of Edinburgh Language English Date Created October 7th, 2020

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