Search for tag: "kernel"

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11:03 AML: Non-Linear Dimensionality Reduction -… AML: Non-Linear Dimensionality Reduction - Extending Linear Methods	AML: Non-Linear Dimensionality Reduction - Extending Linear Methods Applied Machine Learning - INFR11211 AML: Non-Linear Dimensionality Reduction - Extending Linear Methods Part 1/2 aml machine learning nonlinear dimensionality reduction function kernel vector pca linear space points basis matrix values phi feature dimensions dimensionality eigenvector kind conditions condition covariance dataset From Siddharth N 0 likes 78 plays 0 Course Code INFR11211 Licence Type All rights reserved The University of Edinburgh
01:30:04 Chloe Martindale - Isogeny-based cryptography:… Chloe Martindale - Isogeny-based cryptography: why, how, and what next?	Chloe Martindale - Isogeny-based cryptography: why, how, and what next? Subtitles will be added at a later date. 28 July 2022 Foundations and Applications of Lattice-based Cryptography Chloe Martindale, University of Bristol Isogeny-based cryptography: why, how, and… icms foundations applications lattice cryptography things thing point curve bit points picture key curves graph degree kernel idea lattices infinity equation secret alice action scheme From Liam Holligan 0 likes 11 plays 0 Publisher Liam Holligan Licence Type All rights reserved Language English Date Created August 2nd, 2022 Retain Source File Yes
38:45 Reynolds-robust preconditions for the stationary… Reynolds-robust preconditions for the stationary incompressible Naiver-Stokes equations - Patrick Farrell	Reynolds-robust preconditions for the stationary incompressible Naiver-Stokes equations - Patrick Farrell Recent Advances in Numerical Linear Algebra for PDEs, Optimisation, and Data Assimilation Reynolds-robust preconditions for the stationary incompressible Naiver-Stokes equations Patrick Farrell… icms space term divergence grid problem block equations field stokes kernel velocity compliment pressure discrimination stress function reynolds decomposition vector scheme From OLLIE Quinn 0 likes 9 plays 0 Publisher Ollie Quinn Licence Type All rights reserved Language English Date Created April 22nd, 2022
56:59 Hastings-McLeod type solutions of an… Hastings-McLeod type solutions of an integro-differential Painlevé II hierarchy and their Tracy-Widom formula - S Tarricone	Hastings-McLeod type solutions of an integro-differential Painlevé II hierarchy and their Tracy-Widom formula - S Tarricone VISS online seminar series Hastings-McLeod type solutions of an integro-differential Painlevé II hierarchy and their Tracy-Widom formula Sofia Tarricone, (Louvain, Belgium 17 November 2021… mathematics operator function equation problem formula solution hierarchy determinant freedom matrix operators differential kernel condition side temperature fact representation minus space From GILLIAN KERR 0 likes 22 plays 0 Licence Type All rights reserved Language english Date Created November 17th, 2021
17:21 Mengwei Sun Presentation - SSPD 2021 Mengwei Sun Presentation - SSPD 2021	Mengwei Sun Presentation - SSPD 2021 Presented at the Sensor Signal Processing for Defence Conference (SSPD) 2021Presentation: "Adaptive Kernel Kalman Filter" Speaker: Mengwei Sun, University of Edinburgh. Collaborators: Mike… sspd 2021 philtre space particles philtres model linear particle distribution feature training kalman mappings prediction update estimation observation covariance economy kernel idea From Joe Burchell 0 likes 30 plays 0 Licence Type All rights reserved Language English Date Created September 15th, 2021
01:01:19 Ilya Chevyrev - Lecture 04 - A Primer on the… Ilya Chevyrev - Lecture 04 - A Primer on the Signature Method in Machine Learning	Ilya Chevyrev - Lecture 04 - A Primer on the Signature Method in Machine Learning 30 Aug- 03 Sept 2021 ICMS hosted the European Summer School in Financial Mathematics 14th Ediition A Primer on the Signature Method in Machine Learning Ilya Chevyrev (University of… chevyrev primer machine learning signature kernel space series signatures kind path level test linear probability hypothesis kernels sum vector paths words bit values error From OLLIE Quinn 0 likes 122 plays 0 Licence Type All rights reserved
01:29:34 ILya Chevyrev Lecture 03 ILya Chevyrev Lecture 03	ILya Chevyrev Lecture 03 31 Aug- 03 Sept 2021 ICMS hosted the Eurpopean Summer School in Financial Mathematics 14th Ediition A Primer on the Signature Method in Machine Learning Ilya Chevyrev (Edinburgh… signature space series path kind linear log kernel vector power words word question form bit fact times x. level learning From OLLIE Quinn 0 likes 61 plays 0 Licence Type All rights reserved
01:12:40 25 June - David Dunson (Duke University, North… 25 June - David Dunson (Duke University, North Carolina, USA) - DIFFUSION BASED GAUSSIAN PROCESSES ON RESTRICTED DOMAINS	25 June - David Dunson (Duke University, North Carolina, USA) - DIFFUSION BASED GAUSSIAN PROCESSES ON RESTRICTED DOMAINS 25 June 2021 David Dunson (Duke University, North Carolina, USA) - DIFFUSION BASED GAUSSIAN PROCESSES ON RESTRICTED DOMAINS This talk describes recent joint work with Hau-Tieng Wu and Nan Wu. In… statistics research data science covariance points kernel graph manifold sort heat laplacian function epsilon kind gp things lot paper process distance diffusion space water From OLLIE Quinn 0 likes 45 plays 0 Licence Type All rights reserved Language English Date Created July 25th, 2021
17:11 Bayesian Extremes: Likun Zhang Bayesian Extremes: Likun Zhang	Bayesian Extremes: Likun Zhang This talk has been automatically captioned. You can remove these by pressing CC on the video toolbar. Name: Likun Zhang Talk Title: Spatial scale-aware tail dependence modeling for… eva model dependence factor parameter process values locations class scale stations precipitation kernel measure region domain function independence level range mixture From Belle Taylor 0 likes 55 plays 0 Publisher Centre for Statistics Licence Type All rights reserved Language English Date Created June 30th, 2021
16:05 XAI Lecture Recording - SHAP (Part 2) XAI Lecture Recording - SHAP (Part 2)	XAI Lecture Recording - SHAP (Part 2) This lecture will provide an overview of one of the most popular XAI techniques - SHAP. xai explainable machine learning machine learning feature features values model shap output shapley instance coalition prediction function kernel axis visualisation instances tree impact cases leaf linear From Auste Simkute 0 likes 30 plays 0 Course Code INFD11019 Licence Type All rights reserved Language English Date Created June 30th, 2021
16:05 Spatial Extremes: Anders Rønn-Nielsen Spatial Extremes: Anders Rønn-Nielsen	Spatial Extremes: Anders Rønn-Nielsen This talk has been automatically captioned. You can remove these by pressing CC on the video toolbar. Name: Anders Rønn-Nielsen Talk Title: Extreme value theory for spatial random fields -… eva sets field distribution function condition sequence result measure convolution basis behaviour domain kernel conditions increases convex supremum attraction tail distributions From Belle Taylor 0 likes 34 plays 0 Publisher Centre for Statistics Licence Type All rights reserved Language English Date Created June 29th, 2021
18:52 Inference and robust extremes: Jochem Oorschot Inference and robust extremes: Jochem Oorschot	Inference and robust extremes: Jochem Oorschot This talk has been automatically captioned. You can remove these by pressing CC on the video toolbar. Name: Jochem Oorschot Talk Title: Extreme U-statistics Abstract: (joint work with Johan… eva statistic function statistics observations variance block estimator kernel gamma blocks distribution expectation idea projection ratio sense hill times question maxima From Belle Taylor 0 likes 61 plays 0 Publisher Centre for Statistics Licence Type All rights reserved Language English Date Created June 28th, 2021
39:55 GAGTA 14 Yago Antolin GAGTA 14 Yago Antolin	GAGTA 14 Yago Antolin 7-11 June 2021, GAGTA 14 2021 Yago Antolin (Madrid) Geometry and complexity of positive cones This recording is in the process of being subtitled. Subtitles will be available in due course. icms gagta antolin theory method solution positive cones geometry complexity data analysis model elements groups thing language inverse automaton orders things inverses morphism theorem 's idea result subset series proof subgroup kernel ordering From Anna Munro 0 likes 23 plays 0 Licence Type All rights reserved Language English Date Created June 10th, 2021
03:11 Likun Zhang EVA Talk Preview Likun Zhang EVA Talk Preview	Likun Zhang EVA Talk Preview This talk has captions. You can remove these by pressing CC on the video toolbar. Name: Likun Zhang Talk Title: Spatial scale-aware tail dependence modeling for high-dimensional spatial extremes… icms eva theory solution model data spatial extremes events scale-aware tail modelling dependence domain factor mixture models class processes range assumptions function kernel space result parameter ai scale measure extremeness From Anna Munro 0 likes 21 plays 0 Licence Type All rights reserved Language English
03:37 Jochem Oorschot EVA Talk Preview Jochem Oorschot EVA Talk Preview	Jochem Oorschot EVA Talk Preview This talk has captions. You can remove these by pressing CC on the video toolbar. Name: Jochem Oorschot Talk Title: Extreme U-statistics Abstract: Extreme U-statistics (joint work with Johan Segers… extremes statistics notion averages estimators theory solution eva icms sequences kernel gamma function estimator variance block statistic observations proportionality relation hill expectation infinity size sample talk methods From Anna Munro 0 likes 16 plays 0 Licence Type All rights reserved Language English
21:09 Sensitive dependence on molecular interactions of… Sensitive dependence on molecular interactions of length scales in sheared soft matter - Alberto Scacchi	Sensitive dependence on molecular interactions of length scales in sheared soft matter - Alberto Scacchi New directions in classical density functional theory online workshop 3 - 6 May 2021 Alberto Scacchi (Department of Chemistry and Materials, Aalto University) Sensitive dependence on molecular… mathematics function rate length potential term relation kernel shear bit flow dispersion equation scale density form dtft peaks scales model particle From GILLIAN KERR 0 likes 15 plays 0 Licence Type All rights reserved Language english Date Created May 5th, 2021

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