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12:24 AML: Model Selection - Direct Comparison AML: Model Selection - Direct Comparison	AML: Model Selection - Direct Comparison Applied Machine Learning - INFR11211 AML: Model Selection - Direct Comparison Part 1/2 aml machine learning model evaluation model measures models variation regression things difference question choice values test predictions disparity recall effects point errors splits accuracy learning From Siddharth N 0 likes 100 plays 0 Course Code INFR11211 Licence Type All rights reserved The University of Edinburgh
20:20 AML: Exploratory Data Analysis - PCA AML: Exploratory Data Analysis - PCA	AML: Exploratory Data Analysis - PCA Applied Machine Learning - INFR11211 AML: Exploratory Data Analysis - PCA Part 2/3 aml machine learning exploratory data analysis pca variance direction components lambda matrix covariance times component dimensions space variation eigenvectors values vector point dimension directions principal eigenvalues eigen From Siddharth N 0 likes 172 plays 0 Course Code INFR11211 Licence Type All rights reserved The University of Edinburgh
08:38 DNA lottery in AlphaSimR Genome - Part 2 DNA lottery in AlphaSimR Genome - Part 2	DNA lottery in AlphaSimR Genome - Part 2 We will now look at the randomness of DNA inheritance (the DNA lottery) between parents and progeny, and how this process drives variation and resemblance between genomes of relatives. Please watch… individuals values cross correlations matrix bit colour columns genotypes plot correlation resemblance rows parents variation entry square pairs palette diagonal From Qiaojun Yan 0 likes 5 plays 0 Licence Type Creative Commons - Attribution Share A Like
19:19 DNA lottery in AlphaSimR Genome - Part 1 DNA lottery in AlphaSimR Genome - Part 1	DNA lottery in AlphaSimR Genome - Part 1 We will now look at the randomness of DNA inheritance (the DNA lottery) between parents and progeny, and how this process drives variation and resemblance between genomes of relatives. Please watch… mutations cross parents progeny parent variation genomes function crosses individuals matrix founders population haplotype object genotypes lines haplotypes chromosome chromosomes From Qiaojun Yan 0 likes 11 plays 0 Licence Type Creative Commons - Attribution Share A Like
40:51 Variation bounds for spherical means and sparse… Variation bounds for spherical means and sparse domination - Andreas Seeger	Variation bounds for spherical means and sparse domination - Andreas Seeger Fourier Analysis @ 200 Variation bounds for spherical means and sparse domination Andreas Seeger, University of Wisconsin–Madison 30 June 2022 icms operator space variation point estimate end paper inequality problem domination operators spouse termination condition p1 norm theorem cubes endpoint result From Iain Cms 0 likes 33 plays 0 Licence Type All rights reserved Date Created June 30th, 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
39:17 MARS via LASSO - Aditya Guntuboyina MARS via LASSO - Aditya Guntuboyina	MARS via LASSO - Aditya Guntuboyina Structural Breaks and Shape Constraints MARS via LASSO Aditya Guntuboyina (University of California, Berkeley) 17 May 2022 icms function functions variation derivatives class regression linear mars measure rate complexity dimension cross lasso respect derivative method smoothness constraint estimator From Iain Cms 0 likes 40 plays 0 Licence Type All rights reserved Language English Date Created May 17th, 2022
31:07 Mesh Adaptation for High-Order Flow Simulations -… Mesh Adaptation for High-Order Flow Simulations - Kaloyan Kirilov	Mesh Adaptation for High-Order Flow Simulations - Kaloyan Kirilov Adaptive Moving and Anisotropic Meshes for the Numerical Approximation of PDEs Mesh Adaptation for High-Order Flow Simulations Kaloyan Kirilov (Imperial College London) 12 May 2022 icms mesh shock adaptation patient bit degrees freedom element kind regions jacobian sensor discontinuities linear solution radius shocks error variation lot From Iain Cms 0 likes 19 plays 0 Licence Type All rights reserved Language English Date Created May 16th, 2022
49:22 10 March 2022 Nick Sheridan, Edinburgh - The… 10 March 2022 Nick Sheridan, Edinburgh - The Gamma and SYZ conjectures	10 March 2022 Nick Sheridan, Edinburgh - The Gamma and SYZ conjectures 10 Mar 2022Nick Sheridan, Edinburgh, UKThe Gamma and SYZ conjecturesI will give some background on the Gamma Conjecture, which says that mirror symmetry does not respect integral cycles: rather,… icms gamma conjecture mathematics mirror structures hajj symmetry variation period log conjecture term function cosmology filtration connection geometry class sections variations side locus bit From Liam Holligan 0 likes 16 plays 0 Licence Type All rights reserved Language English Date Created March 10th, 2022
15:16 Aleksandar Arandjelović - Student Talks Aleksandar Arandjelović - Student Talks	Aleksandar Arandjelović - Student Talks 30 Aug- 03 Sept 2021 ICMS hosted the European Summer School in Financial Mathematics 14th Ediition Importance of sampling for option pricing with feedforward networks Aleksandar Arandjelović… aleksandar arandjelovic feedforward space measure functions camera process motion measures function choice sampling payoff martin hd matrix variation networks talk question expectation respect From OLLIE Quinn 0 likes 23 plays 0 Licence Type All rights reserved
12:59 Julian Holzermann Student Talks Julian Holzermann Student Talks	Julian Holzermann Student Talks 30 Aug- 03 Sept 2021 ICMS hosted the European Summer School in Financial Mathematics 14th Edition Term Structure Modeling under Volatility Uncertainty Julian Holzermann (Bielefeld University)Student… holzermann structure modeling volatility uncertainty volatility rate uncertainty models term drift process model market structure condition arbitrage dynamics diffusion expectation motion variation framework approach risk From OLLIE Quinn 0 likes 26 plays 0 Licence Type All rights reserved Date Created August 30th, 2021
09:15 Santiago Avendaño interview Santiago Avendaño interview	Santiago Avendaño interview Aviagen broiler breeders supply day-old grandparent and parent stock chicks to customers in more than 100 countries worldwide under the Arbor Acres, Indian River, and Ross brand names. These brands… production meat breathing poultry welfare sustainability traits potential variation future population demand breeding santiago function trace goal increase market issue From Geoff Fortescue 1 likes 55 plays 0 Licence Type Creative Commons - Attribution Share A Like
47:20 Projesh Nath Choudhury Total positivity:… Projesh Nath Choudhury Total positivity: characterizations and connections	Projesh Nath Choudhury Total positivity: characterizations and connections Applied matrix positivity Projesh Nath Choudhury Total positivity: characterizations and connections This recording is in the process of being subtitled. Subtitles will be available in due course. applied matrix positivity matrices property variation minus sequences alpha submatrix metrics result characterization test pupil vector interval papillae sequence complementarity square From OLLIE Quinn 0 likes 44 plays 0 Licence Type All rights reserved Language English Date Created July 21st, 2021
19:22 Extremes of Stochastic Processes: Anna Ferreira Extremes of Stochastic Processes: Anna Ferreira	Extremes of Stochastic Processes: Anna Ferreira This talk has been automatically captioned. You can remove these by pressing CC on the video toolbar. Name: Anna Ferreira Talk Title: Convergence of Extreme Values of Poisson Point Processes at… eva process function distribution delta gamma bar jumps instance times values theory jump measure poisson variables inverse variation minus power representation From Belle Taylor 0 likes 26 plays 0 Publisher Centre for Statistics Licence Type All rights reserved Language English Date Created July 5th, 2021
15:30 Prediction and Validation for Extremes: Fabien… Prediction and Validation for Extremes: Fabien Baeriswyl	Prediction and Validation for Extremes: Fabien Baeriswyl This talk has been automatically captioned. You can remove these by pressing CC on the video toolbar. Name: Fabien Baeriswyl Talk Title: Multivariate regular variation in marked Hawkes… eva process variation alpha generation poisson transfer vector ffa kappa sum lot equation expectation point event assumption d. processes multivariate integer From Belle Taylor 0 likes 19 plays 0 Publisher Centre for Statistics Licence Type All rights reserved Language English Date Created July 1st, 2021
07:03 Selection and Response to Selection Selection and Response to Selection	Selection and Response to Selection We will look at selective breeding, demonstrating how it can improve a population, and predicting a possible response to selection. The essence in selective breeding is to identify genetically best… insilico breeding selection eggs response females generation population equation males variation dna heritability phenotype breeder differential generations simulations x. values distribution average breeding alphasimr From Geoff Fortescue 2 likes 50 plays 0 Licence Type Creative Commons - Attribution Share A Like

Search for tag: "variation"

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