Search for tag: "bias"

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03:00 Olivier Wintenberger EVA Talk Preview Olivier Wintenberger EVA Talk Preview	Olivier Wintenberger EVA Talk Preview This talk has captions. You can remove these by pressing CC on the video toolbar. Name: Olivier Wintenberger Talk Title: Threshold selection for cluster inference based on large deviation… eva icms model data theory solution selection cluster large deviation principles blocks process alpha norm clustering respect infinity approach lp threshold limit analyses bias deviations study statistics apple choice From Anna Munro on May 25th, 2021 0 likes 9 plays 0 Licence Type All rights reserved Language English
02:50 Ligia Henriques-Rodrigues EVA Talk Preview Ligia Henriques-Rodrigues EVA Talk Preview	Ligia Henriques-Rodrigues EVA Talk Preview This talk has captions. You can remove these by pressing CC on the video toolbar. Name: Ligia Henriques-Rodrigues Talk Title: Box-Cox estimation of parameters of extreme events Abstract: The… icms eva solution theory box-cox estimation parameters extremes events box transformations estimator sigma transformation bias bye estimators consistency models variation reduction literature studies simulation carlo monte From Anna Munro on May 19th, 2021 0 likes 4 plays 0 Licence Type All rights reserved Language English
03:25 Jonathan El Methni EVA Talk Preview Jonathan El Methni EVA Talk Preview	Jonathan El Methni EVA Talk Preview This talk has captions. You can remove these by pressing CC on the video toolbar. Name: Jonathan El Methni Talk Title: A bias-reduced version of the Weissman extreme quantile estimator Abstract:… el methni eva icms theory solution sociology index versions bias-reduced extremes quantiles estimator condyle function distribution sample equals rho row sequences red gamma statistics bias attention sense application condyles gas comparison talk From Anna Munro on May 19th, 2021 0 likes 6 plays 0 Licence Type All rights reserved Language English
03:22 Stefan Aulbach EVA Talk Preview Stefan Aulbach EVA Talk Preview	Stefan Aulbach EVA Talk Preview This talk has captions. You can remove these by pressing CC on the video toolbar. Name: Stefan Aulbach Talk Title: Exceedance probability estimation – Some experience on bias correction and… aulbach eva icms solution theory probability estimation bias intervals range target procedure correction interval confidence point prevention level threshold model pareto emea discussions talk interests approaches From Anna Munro on May 13th, 2021 0 likes 5 plays 0 Licence Type All rights reserved Language English
35:57 Michael Rovatsos - Fairness in the Algorithmic… Michael Rovatsos - Fairness in the Algorithmic Economy	Michael Rovatsos - Fairness in the Algorithmic Economy Controversies in the Data Society 2021Prof Michael Rovatsoshttps://www.wiki.ed.ac.uk/display/CIDS/2021+12+Feb+%3A++Consent+and+Fairness data algorithms fairness ai athics data ethics systems kind society economy algorithm welfare things criteria problem question behaviour thing bias justice idea ways preferences range From Michael Rovatsos on February 9th, 2021 0 likes 60 plays 0 Licence Type Creative Commons - Attribution Non Commercial No Derivatives Date Created February 9th, 2021
11:34 FDS-S2-01-2-2 Bias and variance FDS-S2-01-2-2 Bias and variance	FDS-S2-01-2-2 Bias and variance We'll introduce the concept of bias and variance of estimators. inf2-fds estimator variance distribution bias sample expectation estimate parameter theta error bar hat bit estimators variable mu samples difference minus sense From David Sterratt on January 14th, 2021 0 likes 237 plays 0 Course Code INFR08030 Publisher David Sterratt Licence Type Creative Commons - Attribution Non Commercial Language English Date Created January 14th, 2021
42:45 MLP Advanced NN Tutorial 06 - Meta-Learning MLP Advanced NN Tutorial 06 - Meta-Learning	MLP Advanced NN Tutorial 06 - Meta-Learning Machine Learning Practical advanced tutorial (optional) - Session 6 (Week 12). machine learning deep learning meta-learning curriculum learning hierarchical learning few-shot learning one-shot learning learning learner task model things training tasks knowledge metal thing meta classes class loss kind bias query models lot points From Pavlos Andreadis on December 11th, 2020 1 likes 29 plays 0 Course Code INFR11132 Licence Type All rights reserved Language English
05:47 CL - 15e - RS -- Concatenation CL - 15e - RS -- Concatenation	CL - 15e - RS -- Concatenation We use ε-transitions to connect two NFA and create a machine that recognises the concatenation of their languges. inf1a introduction to computation informatics 1 computation and logic string epsilon machine transitions star start epsilons things idea 's machines s. construction strings characters rules pieces trick bias recognise From Haoran Peng on November 23rd, 2020 0 likes 256 plays 0 Course Code INFR08025 Licence Type All rights reserved The University of Edinburgh Language English
55:41 12th Nov: Inclusion Really Does Matter: Improving… 12th Nov: Inclusion Really Does Matter: Improving attitudes towards Gender Equality Initiatives among STEM academics	12th Nov: Inclusion Really Does Matter: Improving attitudes towards Gender Equality Initiatives among STEM academics Inclusion Really Does Matter: Improving attitudes towards Gender Equality Initiatives among STEM academics 12th November 2020 Dr Lynn Farrell @LynnTFarrell L.Farrell@qub.ac.uk Queens University… gender equality diversity inclusion stem academic initiatives initiative bias study attitudes participants studies threat impact perspective career efficacy challenge From Katie Nicoll Baines on November 12th, 2020 0 likes 21 plays 0 Licence Type All rights reserved Date Created November 12th, 2020
02:25:13 Visual Methodologies for Public Participatory Work Visual Methodologies for Public Participatory Work	Visual Methodologies for Public Participatory Work This event introduces visual methodologies and, in particular, digital visual research that makes use of online data and content to research social issues.Recent contributions to digital visual… cdcs cahss university of edinburgh images lot neighbourhood bit cetera questions instance things image platform question organisations platforms topic amsterdam methods pregnancy bias projects tools From Roisin O'Brien on November 11th, 2020 0 likes 63 plays 0 Licence Type Creative Commons - Attribution Non Commercial
10:51 ML6: Linear Classification ML6: Linear Classification	ML6: Linear Classification In this video, we are introduced to linear classifiers. These have parameters which weight input features, and output a scalar that is used to assign a point to a class. We learn that these… parameters classifier function loss output vector point error linear points respect bias parameter label hair toys times weight gradient minus From Elliot Crowley on November 5th, 2020 0 likes 11 plays 0
23:29 IDS - Week 07 - 04 - Algorithmic bias IDS - Week 07 - 04 - Algorithmic bias	IDS - Week 07 - 04 - Algorithmic bias Bias in, bias out in algorithms that make decisions about humans data science rstats things article bias algorithm kind hathaway sentiment risk decisions gender biases lot amazon sentence algorithms videos science examples score machine From Mine Cetinkaya-Rundel on November 2nd, 2020 0 likes 20 plays 0 Course Code MATH08077 Licence Type Creative Commons - Attribution Non Commercial Share A Like
06:35 MLP Lecture 07 - Clip 06 - Multiple Feature Maps MLP Lecture 07 - Clip 06 - Multiple Feature Maps	MLP Lecture 07 - Clip 06 - Multiple Feature Maps Machine Learning Practical (MLP) Lecture 07, Clip 06 / 09. machine learning deep learning times feature maps channels input image kernel size units kernels channel output matrices parameters 3-dimensions dimension dimensionality connections bias capital From Pavlos Andreadis on November 2nd, 2020 1 likes 185 plays 0 Course Code INFR11132 Licence Type All rights reserved Language English
14:51 Topic 44: Minimum Mean Square Error Estimators… Topic 44: Minimum Mean Square Error Estimators (PETARS, Chapter 6)	Topic 44: Minimum Mean Square Error Estimators (PETARS, Chapter 6) This video introduces the simple mean square error (MSE) as a criterion which trades-off bias and variance for an estimator. The relationship between the MSE and bias and variance is defined. The… pgee11164 error estimator variance bias sample expression ratio signal points sum times term a. parameter estimators function minimum values problem observations From James Hopgood on October 23rd, 2020 0 likes 77 plays 0 Course Code PGEE11164 Licence Type All rights reserved Date Created October 23rd, 2020
20:20 Topic 43: Measuring Performance of an Estimator… Topic 43: Measuring Performance of an Estimator (PETARS, Chapter 6)	Topic 43: Measuring Performance of an Estimator (PETARS, Chapter 6) In this video, the question of measuring and quantifying the performance of an estimator is discussed. The video focusses on the concepts and definitions of bias and variance of the probability… pgee11164 estimator variance bias function times sample values expectation mu clock hat distribution probability sum n. pdf points parameter estimation summation From James Hopgood on October 22nd, 2020 0 likes 96 plays 0 Course Code PGEE11164 Licence Type All rights reserved Date Created October 22nd, 2020
03:37 Samples and Sampling - slide 14 Sampling error Samples and Sampling - slide 14 Sampling error	Samples and Sampling - slide 14 Sampling error samples srodgers sample population variance sampling bias From Sheila Rodgers on October 5th, 2020 0 likes 48 plays 0 Licence Type All rights reserved The University of Edinburgh Date Created October 5th, 2020

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