Search for tag: "kernel"

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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 on July 2nd, 2021 0 likes 5 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 on June 30th, 2021 0 likes 24 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 on June 30th, 2021 0 likes 1 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 on June 29th, 2021 0 likes 25 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 on June 28th, 2021 0 likes 52 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 on June 16th, 2021 0 likes 11 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 on May 25th, 2021 0 likes 13 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 on May 25th, 2021 0 likes 13 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 on May 5th, 2021 0 likes 12 plays 0 Licence Type All rights reserved Language english Date Created May 5th, 2021
55:50 19 April 2021: Andreas Veeser (Università… 19 April 2021: Andreas Veeser (Università degli Studi di Milano) - Accurate error bounds and equivalence of seminorms	19 April 2021: Andreas Veeser (Università degli Studi di Milano) - Accurate error bounds and equivalence of seminorms The subtitles/captions on this talk are being edited. They will be available within 2 weeks of the talk being published. 19 April 2021Andreas Veeser (Università degli Studi di Milano) -… one world numerical numerical analysis space approximation operator problem solution method mesh norm question side hand error approach kernel discretization result spaces linear element inequality From OLLIE Quinn on April 29th, 2021 0 likes 23 plays 0 Licence Type All rights reserved Language English Date Created April 19th, 2021
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 26 plays 0 Licence Type All rights reserved Language English Date Created March 19th, 2021
56:23 Matrix valued orthogonality in a random tiling… Matrix valued orthogonality in a random tiling problem - Arno Kuijlaars	Matrix valued orthogonality in a random tiling problem - Arno Kuijlaars VISS online seminar series Matrix valued orthogonality in a random tiling problem Arno Kuijlaars (KU Leuven) 17 February 2021 To remove the captions from this video press CC on the bottom toolbar. … mathematics matrix weight model times polynomials paths tiling level diamond region contour problem transition alpha formula size beta periodicity kernel analysis From GILLIAN KERR on February 17th, 2021 0 likes 18 plays 0 Licence Type All rights reserved Language english Date Created February 17th, 2021
32:12 REF2020: Hua Xing Zhu- TMD PDFs and FFs N3LO,… REF2020: Hua Xing Zhu- TMD PDFs and FFs N3LO, Analytic Continuation, and Reciprocity	REF2020: Hua Xing Zhu- TMD PDFs and FFs N3LO, Analytic Continuation, and Reciprocity REF2020: Hua Xing Zhu- TMD PDFs and FFs N3LO, Analytic Continuation, and Reciprocity higgs centre ref2020 space function fragmentation timeline tau formula phase tmd law kernel regulator rapidity reciprocity momentum moment level coefficient paper functions problem From Lyndsey Ballantyne on December 11th, 2020 0 likes 6 plays 0 Licence Type All rights reserved The University of Edinburgh Date Created December 8th, 2020
27:31 The mapping class group of connect sums of… The mapping class group of connect sums of S2×S1 - Tara Brendle	The mapping class group of connect sums of S2×S1 - Tara Brendle Geometry and Topology online seminar series The mapping class group of connect sums of S2×S1 Tara Brendle (Glasgow) 3 December 2020 mathematics geometry topology sphere manifold action twist class mapping twists trivialization kernel cross manifolds homomorphism sequence space groups actions maps frame point fact From GILLIAN KERR on December 3rd, 2020 0 likes 26 plays 0 Licence Type All rights reserved Language english Date Created December 3rd, 2020
38:10 South East Mathematical Physics Seminars: Harini… South East Mathematical Physics Seminars: Harini Desiraju	South East Mathematical Physics Seminars: Harini Desiraju Subtitles are being edited. To turn these off please select "cc". function functions problem determinant form equation jump solution equations infinity circle kernel solutions contour operators problems structure cylinder half diagram From DIANE HORBERRY on November 18th, 2020 0 likes 52 plays 0 Publisher Liam Holligan Licence Type All rights reserved Language English Date Created November 17th, 2020
02:24 MLP Lecture 08 - Clip 03 - Gradients w.r.t. Inputs MLP Lecture 08 - Clip 03 - Gradients w.r.t. Inputs	MLP Lecture 08 - Clip 03 - Gradients w.r.t. Inputs Machine Learning Practical (MLP) Lecture 08, Clip 03 / 05. machine learning deep learning gradient convolution input kernel layer From Pavlos Andreadis on November 9th, 2020 1 likes 133 plays 0 Course Code INFR11132 Licence Type All rights reserved Language English

Search for tag: "kernel"

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