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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 84 plays 0 Course Code INFR11211 Licence Type All rights reserved The University of Edinburgh
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
11:22 AML: Generalisation - What is it? AML: Generalisation - What is it?	AML: Generalisation - What is it? Applied Machine Learning - INFR11211 AML: Generalisation - What is it? Part 1/3 model capacity training regularities test error degree parameters generalisation polynomial flexibility point space examples lot reason linear hyperparameter hyperparameters dataset From Siddharth N 0 likes 100 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 120 plays 0 Course Code INFR11211 Licence Type All rights reserved The University of Edinburgh
15:22 AML: Exploratory Data Analysis - PCA Examples AML: Exploratory Data Analysis - PCA Examples	AML: Exploratory Data Analysis - PCA Examples Applied Machine Learning - INFR11211 AML: Exploratory Data Analysis - PCA Examples Part 3/3 aml machine learning exploratory data analysis pca component dimensions variance direction components linear features axis directions dimensionality outliers wales dimension points principal bca fact e.g. scotland From Siddharth N 0 likes 124 plays 0 Course Code INFR11211 Licence Type All rights reserved The University of Edinburgh
11:19 AML: Linear Regression - Nonlinear Regression AML: Linear Regression - Nonlinear Regression	AML: Linear Regression - Nonlinear Regression Applied Machine Learning - INFR11211 Linear Regression - Nonlinear Regression Part 3/3 aml machine learning linear regression From Oisin Mac Aodha 1 likes 147 plays Licence Type All rights reserved The University of Edinburgh
16:12 AML: Linear Regression - Fitting Regression Models AML: Linear Regression - Fitting Regression Models	AML: Linear Regression - Fitting Regression Models Applied Machine Learning - INFR11211 Linear Regression - Fitting Regression Models Part 2/3 aml machine learning linear regression From Oisin Mac Aodha 0 likes 167 plays Course Code INFR11211 Licence Type All rights reserved The University of Edinburgh
14:02 AML: Linear Regression - Introduction to… AML: Linear Regression - Introduction to Regression	AML: Linear Regression - Introduction to Regression Applied Machine Learning - INFR11211 Introduction to Regression Part 1/3 aml machine learning linear regression From Oisin Mac Aodha 0 likes 153 plays Course Code INFR11211 Licence Type All rights reserved The University of Edinburgh
50:25 A Krull-Remak-Schmidt theorem for fusion systems… A Krull-Remak-Schmidt theorem for fusion systems - Bob Oliver	A Krull-Remak-Schmidt theorem for fusion systems - Bob Oliver Classifying spaces in homotopy theory: in honour of Ran Levi's 60th BirthdayBob Oliver, Université Paris 13This recording is in the process being subtitled. This typically takes around… icms fusion groups endomorphism theorem automorphism factors systems subgroup automorphisms endomorphisms sum proof morphism identity image situation thing subgroups series linear From Greg McCracken 0 likes 4 plays 0 Licence Type All rights reserved Date Created September 5th, 2022
24:24 Proof complexity of CSP - Azza Gayasin Proof complexity of CSP - Azza Gayasin	Proof complexity of CSP - Azza Gayasin Mathematical Approaches to Lower Bounds: Complexity of Proofs and Computation Proof complexity of CSP by Azza Gaysin, The Charles University in Prague icms instance algebra solution relation csp algorithm linear factorise constraint domain homomorphism theta universe iteration theorem operation relations constraints step congruence From Iain Cms 0 likes 18 plays 0 Licence Type All rights reserved Date Created July 8th, 2022
47:31 Succinct semi-algebraic representations and… Succinct semi-algebraic representations and computational variants of the generalized Lax conjecture - Rafael Mendes de Oliveira	Succinct semi-algebraic representations and computational variants of the generalized Lax conjecture - Rafael Mendes de Oliveira Mathematical Approaches to Lower Bounds: Complexity of Proofs and Computation Succinct semi-algebraic representations and computational variants of the generalized Lax conjecture by Rafael Mendes… icms polynomial conjecture polynomials representation determinant question complexity bounds spectra hyperbola matrix direction degree size cone variables programming thing linear convex From Iain Cms 0 likes 7 plays 0 Licence Type All rights reserved Date Created July 7th, 2022
36:06 Depth lower bounds in Stabbing Planes - Nicola… Depth lower bounds in Stabbing Planes - Nicola Galesi	Depth lower bounds in Stabbing Planes - Nicola Galesi Mathematical Approaches to Lower Bounds: Complexity of Proofs and Computation Depth lower bounds in Stabbing Planes by Nicola Galesi, Sapienza University Rome icms proof points plane inequalities linear principle integer size polytope root result tree polynomials bounds point cycles variables idea depth planes From Iain Cms 0 likes 7 plays 0 Licence Type All rights reserved Date Created July 6th, 2022
30:34 What is in #P and what is not? - Christian… What is in #P and what is not? - Christian Ikenmeyer	What is in #P and what is not? - Christian Ikenmeyer Mathematical Approaches to Lower Bounds: Complexity of Proofs and Computation What is in #P and what is not? University of Liverpool Christian Ikenmeyer icms polynomials polynomial sharpie closure numbers rank complexity question model class questions things problems vector border gct classes linear triangles problem From Iain Cms 0 likes 12 plays 0 Licence Type All rights reserved Date Created July 4th, 2022
30:32 Active Brownian Particles and chemotaxis - Oscar… Active Brownian Particles and chemotaxis - Oscar de Wit	Active Brownian Particles and chemotaxis - Oscar de Wit From Individual to Collective Behaviour in Biological and Robotic Systems Active Brownian Particles and chemotaxis University of Cambridge Oscar de Wit icms particles chemical particle model angle gradient linear bit field diffusion stability pde behaviour equation direction term process drift position sensitivity From Iain Cms 0 likes 31 plays 0 Licence Type All rights reserved Date Created June 29th, 2022
55:15 Flocks, mills, and platoons: from ad-hoc design… Flocks, mills, and platoons: from ad-hoc design to optimality-based formulation - Dante Kalise	Flocks, mills, and platoons: from ad-hoc design to optimality-based formulation - Dante Kalise From Individual to Collective Behaviour in Biological and Robotic Systems Flocks, mills, and platoons: from ad-hoc design to optimality-based formulation Imperial College London Dante Kalise icms control problem gradient optimization function conditions things instance dynamics equation optimality samples condition bit feedback consensus agents linear point agent From Iain Cms 0 likes 27 plays 0 Licence Type All rights reserved Date Created June 29th, 2022
36:21 Maximal Subellipticity - Brian Street Maximal Subellipticity - Brian Street	Maximal Subellipticity - Brian Street Fourier Analysis @ 200 Maximal Subellipticity Brian Street, University of Wisconsin–Madison 01 July 2022 icms operator operators kappa spaces differential vector fields theory space function elliptic zygmunt respect delta derivatives linear ball lp equations dx From Iain Cms 0 likes 22 plays 0 Licence Type All rights reserved Date Created July 1st, 2022

Search for tag: "linear"

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