Search for tag: "distance"

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,…

From  OLLIE Quinn on March 1st, 2021 0 likes 14 plays 0  

dapr1 - making decisions (d)

Part D

From  Umberto Noe on February 8th, 2021 0 likes 204 plays 0  

Measured Survey, Sketching, and Photography (part 2)

Recording Cultural Heritage: Measured Survey, Sketching, and Photography (part2), Dr. Ruxandra-Iulia Stoica

From  Ruxandra Stoica on February 1st, 2021 0 likes 30 plays 0  

dapr1 - hypothesis testing and CIs (a)

Part A

From  Umberto Noe on January 31st, 2021 0 likes 216 plays 0  

4.c

The third video of the Inf2D lecture on Informed Search Algorithms.

From  Claudia-Elena Chirita on January 18th, 2021 0 likes 188 plays 0  

4.a

First video on Informed Search Algorithms.

From  Claudia-Elena Chirita on January 18th, 2021 0 likes 233 plays 0  

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

From  Lyndsey Ballantyne on December 15th, 2020 0 likes 5 plays 0  

Total Field Magnetic Anomalies

Introduction to Geophysics: Total Field Magnetic Anomalies

From  Wyn Williams on December 14th, 2020 0 likes 34 plays 0  

Kaltura Capture recording - November 14th 2020, 1:49:20 pm

lecture 9 part 1

From  Pauline Phemister on November 14th, 2020 0 likes 9 plays 0  

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…

From  Elliot Crowley on November 9th, 2020 0 likes 9 plays 0  

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…

From  Elliot Crowley on November 5th, 2020 0 likes 13 plays 0  

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…

From  Claire Jankowska on November 3rd, 2020 0 likes 37 plays 0  

USMR lecture 7 part 2

independence; influence; model criticism

From  Martin Corley on November 1st, 2020 0 likes 194 plays 0  

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…

From  Jacqueline Aim on October 22nd, 2020 1 likes 18 plays 0  

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…

From  Claire Sowton on October 12th, 2020 0 likes 55 plays 0  

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…

From  Claire Sowton on October 12th, 2020 0 likes 45 plays 0