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33:43 AML: Non-Linear Dimensionality Reduction -… AML: Non-Linear Dimensionality Reduction - Visualisation	AML: Non-Linear Dimensionality Reduction - Visualisation Applied Machine Learning - INFR11211 AML: Non-Linear Dimensionality Reduction - Visualisation Part 2/2 aml machine learning dimensionality reduction visualisation space distance points embedding graph manifold measure point distances distribution neighbours linear dataset things weights methods reduction dimensionality iso sne From Siddharth N 0 likes 157 plays 0 Course Code INFR11211 Licence Type All rights reserved The University of Edinburgh
15:58 AML: Optimisation - Gradient Descent AML: Optimisation - Gradient Descent	AML: Optimisation - Gradient Descent Applied Machine Learning - INFR11211 AML: Optimisation - Gradient Descent Part 2/3 aml machine learning optimisation gradients function gradient step direction error size weight times algorithm rate point weights optimization region learning perturbation steps taylor descent From Siddharth N 0 likes 199 plays 0 Course Code INFR11211 Licence Type All rights reserved The University of Edinburgh
10:18 AML: Optimisation - ML Optimisation AML: Optimisation - ML Optimisation	AML: Optimisation - ML Optimisation Applied Machine Learning - INFR11211 AML: Optimisation - ML Optimisation Part 1/3 aml machine learning optimisation error function log gradient weights regression things weight edit probability linear perspective model direction values vector settings errors points functions From Siddharth N 0 likes 202 plays 0 Course Code INFR11211 Licence Type All rights reserved The University of Edinburgh
27:58 AML: Logistic Regression - Logistic Regression AML: Logistic Regression - Logistic Regression	AML: Logistic Regression - Logistic Regression Applied Machine Learning - INFR11211 Logistic Regression - Logistic Regression Part 2/3 aml machine learning logistic regression function vector decision boundary term classes sense class bias probability input model weight left weights direction regression output values classifier From Oisin Mac Aodha 1 likes 244 plays Course Code INFR11211 Licence Type All rights reserved The University of Edinburgh
21:22 On the strength of semi-algebraic proof systems -… On the strength of semi-algebraic proof systems - Ilario Bonacina	On the strength of semi-algebraic proof systems - Ilario Bonacina Mathematical Approaches to Lower Bounds: Complexity of Proofs and Computation On the strength of semi-algebraic proof systems UPC Universitat Politècnica de Catalunya Ilario Bonacina icms principle weights rules squares systems sum question weight language solution proof principal adams resolution depth layer pigeonhole formulas coefficients holes From Iain Cms 0 likes 2 plays 0 Licence Type All rights reserved Date Created July 4th, 2022
44:50 The Mizohata--Takeuchi conjecture: an overview -… The Mizohata--Takeuchi conjecture: an overview - Tony Carbery	The Mizohata--Takeuchi conjecture: an overview - Tony Carbery Fourier Analysis @200 The Mizohata--Takeuchi conjecture: an overview Tony Carbery, University of Edinburgh 27 June 2022 This talk is being subtitled. This process typically takes around two… icms conjecture fourier delta inequality side tube tubes problem hand function things minus weights norm weight surface sense transform ray bit From Iain Cms 0 likes 88 plays 0 Publisher Simon Kershaw Licence Type All rights reserved Date Created June 27th, 2022
39:24 Volumes of Moduli Spaces of Flat Bundles over… Volumes of Moduli Spaces of Flat Bundles over Surfaces and the Verlinde Formula - Arzu Boysal	Volumes of Moduli Spaces of Flat Bundles over Surfaces and the Verlinde Formula - Arzu Boysal Bundles and Conformal Blocks with a Twist Volumes of Moduli Spaces of Flat Bundles over Surfaces and the Verlinde Formula Arzu Boysal (Bogazici University) 17 June, 2022 icms series space formula function volume elements functions basis vector expression dimension article calculations conjugacy hyperplane vectors weights algebra notation representations From Iain Cms 0 likes 2 plays 0 Licence Type All rights reserved Language English Date Created June 17th, 2022
48:57 The Verlinde Formula and K-Theory of the Moduli… The Verlinde Formula and K-Theory of the Moduli Space of Parabolic Vector Bundles - Olga Trapeznikova	The Verlinde Formula and K-Theory of the Moduli Space of Parabolic Vector Bundles - Olga Trapeznikova Bundles and Conformal Blocks with a Twist The Verlinde Formula and K-theory of the Moduli Space of Parabolic Vector Bundles Olga Trapeznikova (University of Geneva) 15 June, 2022 icms bundle space lambda vector bundles formula degree function sum rank weights difference respect times hand side model point proof polynomials From Iain Cms 0 likes 5 plays 0 Licence Type All rights reserved Language English Date Created June 15th, 2022
42:53 Shape Constraints Imposed by Linear Layers in… Shape Constraints Imposed by Linear Layers in Neural Networks - Rebecca Willett	Shape Constraints Imposed by Linear Layers in Neural Networks - Rebecca Willett Structural Breaks and Shape Constraints Shape Constraints Imposed by Linear Layers in Neural Networks Rebecca Willett (University of Chicago) 16 May 2022 icms function network layer representation networks layers weights functions samples linear training subspace cost units relu things alignment matrix space norm From Iain Cms 0 likes 35 plays 0 Licence Type All rights reserved Language English Date Created May 17th, 2022
57:08 Classifying representations in conformal field… Classifying representations in conformal field theory via the combinatorics of symmetric functions - Simon Wood	Classifying representations in conformal field theory via the combinatorics of symmetric functions - Simon Wood VISS online seminar series Simon Wood (Cardiff) Classifying representations in conformal field theory via the combinatorics of symmetric functions 27 October 2021 To remove the captions from this… mathematics algebra vector weight modules vectors field module functions polynomials weights vacuum bureaus operator parameter algebras formula space things jack model From GILLIAN KERR 0 likes 15 plays 0 Licence Type All rights reserved Language english Date Created October 27th, 2021
01:07:20 Andrew Strominger - w infinty and the celestial… Andrew Strominger - w infinty and the celestial sphere Andrew Strominger - w infinty and the celestial s	Andrew Strominger - w infinty and the celestial sphere Andrew Strominger - w infinty and the celestial s Andrew Strominger - w infinty and the celestial sphere (Celestial Sphere: holography, CFT and amplitudes) higgs centre algebra delta minus theory operator field formula thing bar sphere operators transform gravity symmetries fact dot ways weights tower epsilon From Lyndsey Ballantyne 0 likes 46 plays 0 Licence Type All rights reserved The University of Edinburgh Date Created September 13th, 2021
28:19 Networks : Matthias Schulte Networks : Matthias Schulte	Networks : Matthias Schulte This talk has been automatically captioned. You can remove these by pressing CC on the video toolbar.Name : Matthias Schulte Talk Title: Large degrees in scale-free inhomogeneous random graphs … eva model distribution process decree weights connexion poisson vertex graph scale point estimator tail nodes hill function note decrease craft weight From Belle Taylor 0 likes 23 plays 0 Publisher Centre for Statistics’ Licence Type All rights reserved Language English Date Created July 2nd, 2021
01:11:41 30 June - Diego Millan Berdasco - On the… 30 June - Diego Millan Berdasco - On the computation of decomposition numbers of the symmetric group.	30 June - Diego Millan Berdasco - On the computation of decomposition numbers of the symmetric group. The subtitles/captions on this talk are being edited. They will be available within 2 weeks of the talk being published. 30 June 2021Diego Millan Berdasco - On the computation of decomposition… repnet decomposition numbers symmetric partition lambda block runner weight partitions algebra composition weights runners blocks models rules abacus core rim mu conjecture From Greg McCracken 0 likes 21 plays 0 Licence Type All rights reserved Language English Date Created June 30th, 2021
17:20 Best Student Paper: Stefka Asenova Best Student Paper: Stefka Asenova	Best Student Paper: Stefka Asenova This talk has been automatically captioned. You can remove these by pressing CC on the video toolbar. Name: Stefka Asenova Talk Title: Extremes of Markov random fields on block graphs Abstract: We… eva distribution variable graph model path edge models element threshold variables sum block nodes vector markov weights parameter delta matrix paper From Belle Taylor 0 likes 26 plays 0 Publisher Centre for Statistics Licence Type All rights reserved Language English Date Created July 1st, 2021
15:03 Best Student Paper: Edossa Merga Terefe Best Student Paper: Edossa Merga Terefe	Best Student Paper: Edossa Merga Terefe This talk has been automatically captioned. You can remove these by pressing CC on the video toolbar. Name: Edossa Merga Terefe Talk Title: Extremal Random Forests Abstract: Methods from… eva function forest predictor parameter level quantile regression quantiles quintile distribution estimation scale methods simulation percent weights shape parameters pareto points From Belle Taylor 0 likes 29 plays 0 Publisher Centre for Statistics Licence Type All rights reserved Language English Date Created July 1st, 2021
15:00 Applications of Extremes: Su-Fen Yang Applications of Extremes: Su-Fen Yang	Applications of Extremes: Su-Fen Yang This talk has been automatically captioned. You can remove these by pressing CC on the video toolbar. Name: Su-Fen Yang Talk Title: The PCA-based Control Charts for Monitoring Multiple-stream… eva control charts distribution statistics variance head processes process chart valence length incomes limit m1 correlation quality stream income m2 weights From Belle Taylor 0 likes 30 plays 0 Publisher Centre for Statistics Licence Type All rights reserved Language English Date Created June 29th, 2021

Search for tag: "weights"

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