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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 125 plays 0 Course Code INFR11211 Licence Type All rights reserved The University of Edinburgh
33:15 AML: Model Selection - Statistical Tests AML: Model Selection - Statistical Tests	AML: Model Selection - Statistical Tests Applied Machine Learning - INFR11211 AML: Model Selection - Statistical Tests Part 2/2 aml machine learning model evaluation distribution hypothesis samples population sample difference variance things splits errors error dataset tests model student values significance test means statistics From Siddharth N 0 likes 170 plays 0 Course Code INFR11211 Licence Type All rights reserved The University of Edinburgh
25:54 AML: Evaluation - Classification AML: Evaluation - Classification	AML: Evaluation - Classification Applied Machine Learning - INFR11211 AML: Evaluation - Classification Part 1/2 aml machine learning evaluation classification class model measure labels rate accuracy precision agreement proportion confusion thresholds label matrix recall distribution performance cost measures threshold kappa From Siddharth N 0 likes 173 plays 0 Course Code INFR11211 Licence Type All rights reserved The University of Edinburgh
20:16 AML: Generalisation - Measuring Generalisation AML: Generalisation - Measuring Generalisation	AML: Generalisation - Measuring Generalisation Applied Machine Learning - INFR11211 AML: Generalisation - Measuring Generalisation Part 2/3 model error test training variance distribution labels targets hyperparameters prediction expectation predictions validation target values generalisation bias things dataset partition From Siddharth N 0 likes 196 plays 0 Course Code INFR11211 Licence Type All rights reserved The University of Edinburgh
10:28 AML: Naive Bayes - Naive Bayes with Continuous… AML: Naive Bayes - Naive Bayes with Continuous Data	AML: Naive Bayes - Naive Bayes with Continuous Data Applied Machine Learning - INFR11211 Naive Bayes - Naive Bayes with Continuous Data Part 3/3 aml machine learning naive bayes class height features distribution weight bayes alpaca feature parameters covariance dimensions probability assumption vector alpacas conditionals variance overlap width llamas From Oisin Mac Aodha 0 likes 185 plays Licence Type All rights reserved The University of Edinburgh
09:46 Animal Breeding Programme with AlphaSimR - Part 2 Animal Breeding Programme with AlphaSimR - Part 2	Animal Breeding Programme with AlphaSimR - Part 2 This vignette shows how to simulate a bit more realistic animal breeding programme with overlapping generations and different selection intensities in males and females. (Part 2) parents values phenotype function selection population candidates distribution males programme birth dataframe distributions breeding animals argument difference intensity response individuals From Qiaojun Yan 0 likes 10 plays 0 Licence Type Creative Commons - Attribution Share A Like
01:08:05 Damien Stehlé - Introduction to… Damien Stehlé - Introduction to Lattice-based Cryptography (Pt 2)	Damien Stehlé - Introduction to Lattice-based Cryptography (Pt 2) Subtitles will be added at a later date. 25 July 2022 Foundations and Applications of Lattice-based Cryptography Damien Stehlé, ENS Lyon Introduction to Lattice-based Cryptography (Pt 2) times uniform distribution signature decision parameters reduction minus prime function proof adversary encryption signatures key problem secret log things question From Liam Holligan 0 likes 39 plays 0 Publisher Liam Holligan Licence Type All rights reserved Language English Date Created August 2nd, 2022 Retain Source File Yes
57:31 Expander graphs, modular forms and cryptography,… Expander graphs, modular forms and cryptography, Luca De Feo	Expander graphs, modular forms and cryptography, Luca De Feo This public lecture was part of the Foundations and Applications of Lattice-based Cryptography workshop at ICMS. We were delighted to welcome speaker Luca De Feo to give this talk. Alice and the… maths cryptography security encryption power times steps matrix graph kind alice numbers thing distribution direction problem graphs manhattan polynomial question eigenvalues curve step elements From Iain Cms 0 likes 6 plays 0 Publisher ICMS Licence Type All rights reserved Language English Date Created July 26th, 2022
12:33 DNA lottery in AlphaSimR Traits DNA lottery in AlphaSimR Traits	DNA lottery in AlphaSimR Traits We will now look at the randomness of DNA inheritance (the DNA lottery) between parents and progeny, and how this process drives variation in genetic and phenotype values of relatives. Please watch… values phenotype cross parent progeny variation parents histogram individuals crosses population genome heritability object function trade base distribution range objects From Gregor Gorjanc 0 likes 13 plays 0 Licence Type Creative Commons - Attribution Share A Like
11:02 Simulating traits in AlphaSimR - Part 1 Simulating traits in AlphaSimR - Part 1	Simulating traits in AlphaSimR - Part 1 AlphaSimR simulates traits by defining the type of trait genetic effects, number of DNA sites controlling the trait, mean, genetic variance, and environmental variance. Once we simulate genetic and… trait values object individuals population function effects distribution trade chromosome variance argument base simulation qtls qtl loci genomes alpha traits From Gregor Gorjanc 0 likes 17 plays 0 Licence Type Creative Commons - Attribution Share A Like
41:20 Optimal Nonparametric Testing of Missing… Optimal Nonparametric Testing of Missing Completely At Random, and its Connections to Compatibility - Tom Berrett	Optimal Nonparametric Testing of Missing Completely At Random, and its Connections to Compatibility - Tom Berrett Structural Breaks and Shape Constraints Optimal Nonparametric Testing of Missing Completely At Random, and its Connections to Compatibility Tom Berrett (University of Warwick) 20 May 2022 icms distributions distribution problem hypothesis tests test cases patterns variables compatibility kind observation mcar incompatibility bit class power sense sample homework From Iain Cms 0 likes 20 plays 0 Licence Type All rights reserved Language English Date Created May 23rd, 2022
$Thumbnail for entry Beyond $\log n/\log\log n$ Iterations: Non-Asymptomatic Analysis for Approximate Message Passing - Yuting Wei$ 37:34 Beyond $\log n/\log\log n$ Iterations:… Beyond $\log n/\log\log n$ Iterations: Non-Asymptomatic Analysis for Approximate Message Passing - Yuting Wei	Beyond $\log n/\log\log n$ Iterations: Non-Asymptomatic Analysis for Approximate Message Passing - Yuting Wei Structural Breaks and Shape Constraints Beyond $\log n/\log\log n$ Iterations: Non-Asymptomatic Analysis for Approximate Message Passing Yuting Wei (University of Pennsylvania) 19 May 2022 icms amp star signal log estimator algorithm formula synchronisation beta times alpha n. function term distribution lambda result models theory matrix From Iain Cms 0 likes 22 plays 0 Licence Type All rights reserved Language english Date Created May 23rd, 2022
33:20 Testing for Shape Restrictions with U-Processes -… Testing for Shape Restrictions with U-Processes - Kengo Kato	Testing for Shape Restrictions with U-Processes - Kengo Kato Structural Breaks and Shape Constraints Testing for Shape Restrictions with U-Processes Kengo Kato (Cornell University) 19 May 2022 icms process function bootstrap size sampling sample concave neighbourhood production indices point computation component distribution supremum sum power test concavity complexity From Iain Cms 0 likes 56 plays 0 Licence Type All rights reserved Language English Date Created May 23rd, 2022
42:33 Second- and Higher-Order Anti-Concentration… Second- and Higher-Order Anti-Concentration Inequalities, Comparison Theorems and Bootstrap - Cun-Hui Zhang	Second- and Higher-Order Anti-Concentration Inequalities, Comparison Theorems and Bootstrap - Cun-Hui Zhang Structural Breaks and Shape Constraints Second- and Higher-Order Anti-Concentration Inequalities, Comparison Theorems and Bootstrap Cun-Hui Zhang (Rutgers University) 19 May 2022 icms function distribution condition alpha result theory maximum problem expansion difference gaussian softmax density delta derivative smoothness interpolation comparison power matrix From Iain Cms 0 likes 11 plays 0 Licence Type All rights reserved Language English Date Created May 23rd, 2022
39:12 Unlinked Monotone Regression - Cecile Durot Unlinked Monotone Regression - Cecile Durot	Unlinked Monotone Regression - Cecile Durot Structural Breaks and Shape Constraints Unlinked Monotone Regression Cecile Durot (Université Paris Nanterre) 19 May 2022 icms distribution function estimator rate fact regression naught epsilon x. convergence deconvolution contrast cases instance estimators m2 minus functions connexion predictors From Iain Cms 0 likes 25 plays 0 Licence Type All rights reserved Language English Date Created May 23rd, 2022
41:36 Robust and Adaptive Estimation of a Density on … Robust and Adaptive Estimation of a Density on the Line under a Shape - Yannick Baraud	Robust and Adaptive Estimation of a Density on the Line under a Shape - Yannick Baraud Structural Breaks and Shape Constraints Robust and Adaptive estimation of a Density on the Line under a Shape Constraint Yannick Baraud (University of Luxembourg) 19 May 2022 icms density estimator model densities star interval concave monotone kind result class function distribution distance convex linear approximation respect intervals target From Iain Cms 0 likes 19 plays 0 Licence Type All rights reserved Language English Date Created May 23rd, 2022

Search for tag: "distribution"

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