Search for tag: "parameters"

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15:03 CNR - Anaesthetic Monitoring CNR - Anaesthetic Monitoring	CNR - Anaesthetic Monitoring CNR - Anaesthetic monitoring (2023) Warning: This video may contain footage of surgery, trauma, or disease. The videos were all opportunistically filmed in collaboration with animal welfare… cnr the jeanne marching international centre for animal welfare education the royal (dick) school of veterinary studies dog welfare dog anaesthesia rate dogs monitoring eye heart pain airway surgery parameters depth reflex blood reflexes problems blink jaw surgeon minute From Louise Connelly 0 likes 6 plays 0 Publisher Digital Education Unit Licence Type All rights reserved The University of Edinburgh Language English Date Created January 25th, 2023
12:20 MLP Lecture 08 - Clip 05 - Short CNN timeline MLP Lecture 08 - Clip 05 - Short CNN timeline	MLP Lecture 08 - Clip 05 - Short CNN timeline Machine Learning Practical (MLP) Lecture 08, Clip 05 / 05. machine learning deep learning convolutional neural networks timeline network layers computation layer networks parameters performance improvement training backpropagation computations net features starting times bias function field output connexions From Pavlos Andreadis 1 likes 101 plays 0 Course Code INFR11132 Licence Type All rights reserved Language English Date Created November 8th, 2022 Retain Source File Yes
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 175 plays 0 Course Code INFR11211 Licence Type All rights reserved The University of Edinburgh
34:45 BHoM 2022 - Tosin Babasola BHoM 2022 - Tosin Babasola	BHoM 2022 - Tosin Babasola Tuesday 04 October 2022 Black Heroes of Mathematics Conference 2022 Tosin Babasola, University of Bath - Role of mathematics in understanding the growth of cocoa crops? icms mathematics africa function production equation parameters behaviour finance nigeria model question cocoa knowledge trend temperature climate application effect stages masters From Greg McCracken 0 likes 32 plays 0 Publisher Liam Holligan Licence Type All rights reserved Language English Date Created October 4th, 2022 Retain Source File Yes
01:03:10 Johanna Knapp - GLSMs, partition functions, and… Johanna Knapp - GLSMs, partition functions, and genus-0 invariants for hybrid models	Johanna Knapp - GLSMs, partition functions, and genus-0 invariants for hybrid models Periods in Mirror Symmetry icms function theory space sectors ginzburg landau model brain parameters models point gauge partition class functions phases parameter ginsburg fields physics From Greg McCracken 0 likes 8 plays 0 Licence Type All rights reserved Date Created September 22nd, 2022
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 196 plays Licence Type All rights reserved The University of Edinburgh
13:42 Plant Breeding Plant Breeding	Plant Breeding This vignette will show how to simulate the wheat breeding programme described in Gaynor et al. (2017). In this breeding programme, there are several stages in a breeding cycle and several breeding… individuals breeding programme variance locations parents trial yield trials genotypes cycle amount phenotype function genotype parameters selection values phenotypes rep From Qiaojun Yan 0 likes 10 plays 0 Licence Type Creative Commons - Attribution Share A Like
58:29 Ilaria Chillotti - Introduction to FHE and the… Ilaria Chillotti - Introduction to FHE and the TFHE Scheme (Pt 1)	Ilaria Chillotti - Introduction to FHE and the TFHE Scheme (Pt 1) Subtitles will be added at a later date. 26 July 2022 Foundations and Applications of Lattice-based Cryptography Ilaria Chillotti, ZAMA Introduction to FHE and the TFHE Scheme (Pt 1) encryption key operations secret box cloud bit operation problem question bootstrapping times error ciphertext thermometer solution decryption point parameters multiplication From Greg McCracken 0 likes 64 plays 0 Publisher Liam Holligan Licence Type All rights reserved Language English Date Created August 2nd, 2022 Retain Source File Yes
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 50 plays 0 Publisher Liam Holligan Licence Type All rights reserved Language English Date Created August 2nd, 2022 Retain Source File Yes
12:15 Selection on multiple traits in AlphaSimR - Part 2 Selection on multiple traits in AlphaSimR - Part 2	Selection on multiple traits in AlphaSimR - Part 2 Now we explore the multi-trait selection in AlphaSimR so that we can design a sustainable and holistic approach to breeding productive and resilient individuals. This involves consideration of the… selection individuals phenotype traits trade values trait differential rate correlation bit population covariance points plot base response parameters variance lines From Qiaojun Yan 0 likes 11 plays 0 Licence Type Creative Commons - Attribution Share A Like
19:11 Selection on a single trait in AlphaSimR - Part 1 Selection on a single trait in AlphaSimR - Part 1	Selection on a single trait in AlphaSimR - Part 1 In this vignette, we will learn about simulating selection to improve a single trait and explore some of the intricacies of the breeder’s equation. (Part 1) population phenotype individuals values base phenotypes parents selection function histogram generation units response progeny variance average heritability pop dataframe parameters From Gregor Gorjanc 0 likes 22 plays 0 Licence Type Creative Commons - Attribution Share A Like
53:26 SU(2) Channels the Cancellation K3 BPS States -… SU(2) Channels the Cancellation K3 BPS States - Katrin Wendland	SU(2) Channels the Cancellation K3 BPS States - Katrin Wendland Bundles and Conformal Blocks with a Twist SU(2) Channels the Cancellation K3 BPS States Katrin Wendland (Trinity College Dublin) 16 June, 2022 icms representations bps space bar field weight charge theories algebra theory genus vector representation parameters transparency function series stuff fact bit From Iain Cms 0 likes 6 plays 0 Licence Type All rights reserved Language English Date Created June 16th, 2022
01:12:36 Higgs Centre Colloquium: Martin White… Higgs Centre Colloquium: Martin White 'Modeling large-scale structure in the golden age of cosmological surveys'	Higgs Centre Colloquium: Martin White 'Modeling large-scale structure in the golden age of cosmological surveys' Speaker: Martin White (University of California Berkeley) Abstract The Universe we observe exhibits order on a wide range of scales, and the study of this large-scale structure provides one of our… higgs centre theory things galaxies scale bias perturbation physics parameters model redshift galaxy surveys thing spectrum lot expansion density question formation simulations From Ines Foidl 0 likes 22 plays 0 Licence Type All rights reserved Date Created June 17th, 2022
43:30 Regularisation by Inexact Krylov Methods - Silvia… Regularisation by Inexact Krylov Methods - Silvia Gazzola	Regularisation by Inexact Krylov Methods - Silvia Gazzola Recent Advances in Numerical Linear Algebra for PDEs, Optimisation, and Data Assimilation Regularisation by Inexact Krylov Methods Silvia Gazzola (University of Bath) icms problem writer kind parameters bit image problems regularisation function iteration solution methods solvers metrics iterations relations idea question step algorithm From Greg McCracken 0 likes 4 plays 0 Publisher Ollie Quinn Licence Type All rights reserved Language English Date Created April 22nd, 2022
44:26 Fast and Even Faster Sampling of Parameterised… Fast and Even Faster Sampling of Parameterised Gaussian Random Fields - Jonas Latz	Fast and Even Faster Sampling of Parameterised Gaussian Random Fields - Jonas Latz Recent Advances in Numerical Linear algebra for PDEs, Optimisation, and Data Assimilation Fast and Even Faster Sampling of Parameterised Gaussian Random Fields Jonas Latz (Heriot-Watt University) icms space matrix problem basis function sort idea parameter parameters kind thing theatre problems samples approximation error measures question spaces square From Greg McCracken 0 likes 7 plays 0 Publisher Ollie Quinn Licence Type All rights reserved Language English Date Created April 22nd, 2022
43:54 A model for academic-industry partnerships to… A model for academic-industry partnerships to deliver clinical AI solutions that are fit for purpose	A model for academic-industry partnerships to deliver clinical AI solutions that are fit for purpose Speaker:Carlo Tacchetti, Vita-Salute San Raffaele University Abstract: A correct assessment of patients’ diagnostic, prognostic, and therapy response to standard of care treatments, must… biomedical ai cdt patients patient hospital parameters platform cancer covid end problem italy therapy cities question point microsoft cloud department disease classification repository From Isabelle Hanlon 0 likes 1 plays 0 Licence Type All rights reserved The University of Edinburgh Date Created April 6th, 2022

Search for tag: "parameters"

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