Search for tag: "gaussian"

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58:06 ASR Lecture 13 ASR Lecture 13	ASR Lecture 13 ASR Lecture 13: Speaker adaptation speech recognition speaker adaptation model parameters transform speech vector network methods gaussians term training idea linear scheme space bit gaussian variance matrix From Peter Bell on March 25th, 2021 0 likes 4 plays 0 Licence Type Creative Commons - Attribution Non Commercial Date Created March 29th, 2021
18:39 Topic 39: Multivariate Characteristic Functions… Topic 39: Multivariate Characteristic Functions (PETARS, Chapter 5)	Topic 39: Multivariate Characteristic Functions (PETARS, Chapter 5) The concept of the characteristic function for scalar random variables is extended to multivariate densities of random vectors. This is defined as the multi-dimensional Fourier transform, or the… pgee11164 term function identity times gamma multivariate transform expression fourier gaussian vector fact tool functions moment probability beta transpose multi density From James Hopgood on October 18th, 2020 0 likes 78 plays 0 Course Code PGEE11164 Licence Type All rights reserved Date Created October 18th, 2020
20:21 Topic 38: The Multivariate Guassian Distribution… Topic 38: The Multivariate Guassian Distribution (PETARS, Chapter 5)	Topic 38: The Multivariate Guassian Distribution (PETARS, Chapter 5) This video reviews the probability density function (pdf) for the multivariate Gaussian random variable. This pdf is then derived by developing the isotropic multivariate Gaussian, and then… pgee11164 density probability gaussian function vector transformation covariance multivariate linear matrix times distribution pdf transpose form variables transformations isotropic variance correlation From James Hopgood on October 15th, 2020 0 likes 101 plays 0 Course Code PGEE11164 Licence Type All rights reserved Date Created October 15th, 2020
11:44 Topic 24: Higher-Order Statistics (PETARS,… Topic 24: Higher-Order Statistics (PETARS, Chapter 4)	Topic 24: Higher-Order Statistics (PETARS, Chapter 4) This video looks at two important and commonly used higher-order statistics that are useful for characterising a random variable, namely skewness and kurtosis. The video gives a physical meaning to… pgee11164 skewness kurtosis distribution moment density signals lambda infinity gaussian ketosis probability fact hand moments expression access side power asymmetry variable From James Hopgood on September 29th, 2020 0 likes 85 plays 0 Course Code PGEE11164 Licence Type All rights reserved Date Created September 29th, 2020
12:54 Topic 20: Common density functions and their… Topic 20: Common density functions and their properties (PETARS, Chapter 4)	Topic 20: Common density functions and their properties (PETARS, Chapter 4) This video introduces a number of common probability density functions that are used in signal processing algorithms. Examples are given over finite-intervals, the entire real axis, and… pgee11164 distribution density function probability distributions properties form beta variables functions variance values lecture wikipedia minus gaussian times notes term curve From James Hopgood on September 23rd, 2020 0 likes 97 plays 0 Course Code PGEE11164 Licence Type All rights reserved Date Created September 23rd, 2020
03:15 A Probilistic View A Probilistic View	A Probilistic View A probabilistic formulation of the linear model square probability regression analysis gaussian probabilistically general predicts regression caption complete annoyance probabilistic systems theory 2017 mosquito function iaml noise linear model theory of probability distributions equivalent statistical terminology component effects output estimate likelihood probability theory structure remember solution linear regression algorithms residuals variance problem linear model error log input inverse pseudo method optimization score task From Nigel Goddard on October 1st, 2017 0 likes 2,767 plays 0 Licence Type Creative Commons - Attribution
03:50 Summary Summary	Summary Summary iaml mixture-models means covariance distances point likelihood mixture gaussians kmeans lot attributes axis thing distance gaussian mixtures difference components epsilon cluster initializations From Nigel Goddard on September 25th, 2016 0 likes 1,626 plays 0 Licence Type Creative Commons - Attribution
02:32 Introduction to mixture models Introduction to mixture models	Introduction to mixture models Introduction to mixture models iaml mixture-models clusters clustering cluster means probability methods parameters space distribution models mixture variances gaussian kind points ways dataset auto algorithm em From Nigel Goddard on September 25th, 2016 0 likes 2,434 plays 0 Licence Type Creative Commons - Attribution
07:59 How many Gaussians in the GMM How many Gaussians in the GMM	How many Gaussians in the GMM How many Gaussians in the GMM iaml mixture-models model likelihood gaussians components mixture parameters point gaussian points complexity numbers training quantity space means p. razor occam ways variance From Nigel Goddard on September 25th, 2016 0 likes 1,993 plays 0 Licence Type Creative Commons - Attribution
08:53 Gaussian mixture model (GMM) Gaussian mixture model (GMM)	Gaussian mixture model (GMM) Gaussian mixture model (GMM) iaml mixture-models gaussian covariance points matrix instance point gaussians attribute deviation inverse weights coloring posteriors b. target thing attributes importance a. c. From Nigel Goddard on September 25th, 2016 0 likes 2,406 plays 0 Licence Type Creative Commons - Attribution
05:15 Visualizing the EM algorithm Visualizing the EM algorithm	Visualizing the EM algorithm Visualizing the EM algorithm iaml mixture-models gaussian points gaussians colors x1 variance numbers posteriors point rule bayes probability coloring bit differences estimate variances means mixture posterior From Nigel Goddard on September 25th, 2016 0 likes 2,601 plays 0 Licence Type Creative Commons - Attribution
04:52 Expectation-maximization algorithm Expectation-maximization algorithm	Expectation-maximization algorithm Expectation-maximization algorithm iaml mixture-models points gaussian variance point means colors gaussians variances step algorithm problem space colours relation probability idea thing estimation mixture observations From Nigel Goddard on September 25th, 2016 0 likes 2,539 plays 0 Licence Type Creative Commons - Attribution
09:16 Confidence Interval for Generalization Confidence Interval for Generalization	Confidence Interval for Generalization Confidence Interval for Generalization probability percent gaussian summary statistics measurement misclassified tomorrow caption complete theory of probability distributions test set question instance elementary algebra compute evaluation iaml data analysis statistical terminology number standard deviation total number unbiased estimate human communication future error probability theory error rate 100 times percent confidence interval future test true error rate future square root confidence interval variance distribution statistical deviation and dispersion minus effects error confidence interval rate instances test sets deviation root thirds times estimate testing deviations From Nigel Goddard on September 21st, 2016 0 likes 2,956 plays 0 Licence Type Creative Commons - Attribution
02:26 Example where Naive Bayes Fails Example where Naive Bayes Fails	Example where Naive Bayes Fails Example where Naive Bayes Fails weight independent problem height children caption complete variance positive differentiates iaml separate naive covariance effects attributes distinguish estimate difference class condition correlated black class points hopeless correlation situation distribution red class gaussian classes bayes adults thing independence base alright beta physics From Nigel Goddard on September 17th, 2016 1 likes 2,939 plays 0 Licence Type Creative Commons - Attribution
07:37 Gaussian Naive Bayes Classifier Gaussian Naive Bayes Classifier	Gaussian Naive Bayes Classifier Gaussian Naive Bayes Classifier multiplying force probability number height effectively individual big number children caption complete weight specification question pretty iaml product plays set in new york city physical quantities statistical terminology histogram average child adult child libertarian theory small number probability theory individualism commerce compute remember legal terms political philosophy small variance model observation represented effects gaussian class axis adults numbers weights thing individuals parts From Nigel Goddard on September 17th, 2016 3 likes 3,294 plays 0 Licence Type Creative Commons - Attribution
02:14 Estimating Gaussians Estimating Gaussians	Estimating Gaussians Estimating Gaussians iaml maths sigma points formulation matrix likelihood estimate sum log mu gaussian sort density dimensions covariance kind n. component times maine concept From Nigel Goddard on September 8th, 2016 1 likes 1,309 plays 0 Licence Type Creative Commons - Attribution

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