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James Pascoe Abstract preservers

Applied matrix positivity James Pascoe Abstract preservers This recording is in the process of being subtitled. Subtitles will be available in due course.

From  OLLIE Quinn on August 4th, 2021 0 likes 2 plays 0  

Machine Learning for extremes: Christian Robert

This talk has been automatically captioned. You can remove these by pressing CC on the video toolbar. Name: Christian Robert Talk Title: Hill random forests Abstract: In extreme value statistics,…

From  Belle Taylor on June 29th, 2021 0 likes 50 plays 0  

Juliette Legrand EVA Talk Preview

This talk has captions. You can remove these by pressing CC on the video toolbar. Name: Juliette Legrand Talk Title: Evaluation of binary classifiers for extremes Abstract: Machine learning…

From  Anna Munro on May 13th, 2021 0 likes 14 plays 0  

Sebastian Neblung EVA Talk Preview

This talk has captions. You can remove these by pressing CC on the video toolbar. Name: Sebastian Neblung Talk Title: Cluster based estimator for the spectral tail process Abstract: A new type of…

From  Anna Munro on May 13th, 2021 0 likes 13 plays 0  

EEA 2021 - Linear Regression

Lecture for linear regression and non-parametric equivalent.

From  Kyle Dexter on March 4th, 2021 0 likes 79 plays 0  

Partial Differential Equations, Lecture 7a: Numerical solution of hyperbolic PDEs.

A lecture introducing numerical methods for hyperbolic PDEs

From  David Ingram on February 8th, 2021 0 likes 48 plays 0  

13.b

The second video on the first Inf2d lecture on Resolution.

From  Claudia-Elena Chirita on February 8th, 2021 0 likes 183 plays 0  

12.a

The first video of the Inf2d lecture on Inference in First-Order Logic.

From  Claudia-Elena Chirita on February 3rd, 2021 0 likes 201 plays 0  

FDS-S2-02-2-5 Maximum likelihood estimation of logistic regression coefficients

We introduce the principle of maximum likelihood, and show how to derive the likelihood as a function of the coefficients for logistic regression. We also mention one topical application of logistic…

From  David Sterratt on January 20th, 2021 0 likes 160 plays 0  

FDS-S2-02-2-1 Principle of logistic regression

We introduce the principle of logisitc regression, illustrating its application to a credit approval dataset. We also introduce the concepts of odds and odds ratios.

From  David Sterratt on January 19th, 2021 0 likes 229 plays 0  

REF2020: Yossathorn Tawabutr- Helicity at Small x: Oscillations and LLA Corrections

REF2020: Yossathorn Tawabutr- Helicity at Small x: Oscillations and LLA Corrections

From  Lyndsey Ballantyne on December 18th, 2020 0 likes 1 plays 0  

REF2020: Daniel Adamiak- Small-x Helicity Phenomenology

REF2020: Daniel Adamiak- Small-x Helicity Phenomenology

From  Lyndsey Ballantyne on December 18th, 2020 0 likes 4 plays 0  

REF2020: Yuri - Quark and gluon helicity distributions and OAM at small x

REF2020: Yuri - Quark and gluon helicity distributions and OAM at small x

From  Lyndsey Ballantyne on December 11th, 2020 0 likes 6 plays 0  

Francesco Giglio (University of Glasgow) Title:The KdV equation as an example of integrable PDE.

LMS Introduction to Integrability Lecture SeriesThis is a lecture course of 5 lectures which gives samples of main types of integrable systems together with techniques for dealing with them.…

From  OLLIE Quinn on November 19th, 2020 0 likes 47 plays 0  

ML3: Dimensionality Reduction using Principal Component Analysis

In this video, we will learn that we can use Principal Component Analysis (PCA) to find a transformation matrix that minimises reconstruction error for dimensionality reduction. We also show how this…

From  Elliot Crowley on November 5th, 2020 0 likes 17 plays 0