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39:27 Ashot Minasyan: Some Examples of Invariably… Ashot Minasyan: Some Examples of Invariably Generated Groups	Ashot Minasyan: Some Examples of Invariably Generated Groups Geometric and Asymptotic Group Theory with Applications (GAGTA 14) Workshop (07 - 11 June) Ashot Minasyan, University of Southampton - Some Examples of Invariably Generated Groups 8 June 2021 invariably generated groups geometry geometric asymptotic asymptotic group theory group theory icms mathematics maths math subgroup groups theorem conjugate element elements image g. naught conjugates subset questions power idea subgroups cardinality jordan union sense point From Sophia Martin on June 16th, 2021 0 likes 20 plays 0 Licence Type All rights reserved Language English Date Created June 8th, 2021
39:55 GAGTA 14 Yago Antolin GAGTA 14 Yago Antolin	GAGTA 14 Yago Antolin 7-11 June 2021, GAGTA 14 2021 Yago Antolin (Madrid) Geometry and complexity of positive cones This recording is in the process of being subtitled. Subtitles will be available in due course. icms gagta antolin theory method solution positive cones geometry complexity data analysis model elements groups thing language inverse automaton orders things inverses morphism theorem 's idea result subset series proof subgroup kernel ordering From Anna Munro on June 16th, 2021 0 likes 11 plays 0 Licence Type All rights reserved Language English Date Created June 10th, 2021
01:04:03 LAGOON: Leicester Algebra and Geometry Open… LAGOON: Leicester Algebra and Geometry Open ONline - Giulia Saccà (Columbia University, USA)	LAGOON: Leicester Algebra and Geometry Open ONline - Giulia Saccà (Columbia University, USA) Subtitles are automatically uploaded to the video, these will be corrected shortly. Please click "cc" to turn subtitles off. Giulia Saccà (Columbia University, USA): Hodge numbers… icms dimension thing decomposition theorem vibration homology fact scheme delta fibres things fibre subset star resolution varieties curve curves morphism k3 From Liam Holligan on December 3rd, 2020 0 likes 72 plays 0 Publisher Liam Holligan Licence Type All rights reserved Language English Date Created December 3rd, 2020
53:16 LMS Computer Science Colloquium - Kitty Meeks… LMS Computer Science Colloquium - Kitty Meeks (Glasgow)	LMS Computer Science Colloquium - Kitty Meeks (Glasgow) An automated programme is used to generate the subtitles on this talk. You can remove the subtitles by pressing CC on the bottom toolbar. Kitty Meeks (Glasgow) - From decision to approximate… icms witnesses decision counting algorithm witness problem probability times log subsets graph problems subset size elements element bit things vertex colour From Liam Holligan on November 19th, 2020 0 likes 17 plays 0 Publisher Liam Holligan Licence Type All rights reserved Language English Date Created November 19th, 2020
04:19 CL - 14c - Regular Languages (I) CL - 14c - Regular Languages (I)	CL - 14c - Regular Languages (I) We give a first definition of regular language as a language that is accepted by some FSM. inf1a introduction to computation informatics 1 computation and logic string machine subset languages star sigma machines start 13th strings language union b. parallel character thing things sense definition expressions From Haoran Peng on November 18th, 2020 0 likes 258 plays 0 Course Code INFR08025 Licence Type All rights reserved The University of Edinburgh Language English
51:43 FP - Lecture 11 - Data Types and Data Abstraction FP - Lecture 11 - Data Types and Data Abstraction	FP - Lecture 11 - Data Types and Data Abstraction This is the first video for the FP lecture on Data Types and Data Abstraction. inf1a informatics 1 introduction to computation haskell data types data abstraction linear element log length things times thing lists efficiency question subset n. difference sets questions size graphics bit lots From Claudia-Elena Chirita on October 25th, 2020 0 likes 511 plays 0 Course Code INFR08025 Licence Type All rights reserved The University of Edinburgh Language English
09:46 Topic 14: Axiomatic Definition of Probability… Topic 14: Axiomatic Definition of Probability (PETARS, Chapter 3)	Topic 14: Axiomatic Definition of Probability (PETARS, Chapter 3) The Kolmogorov axioms are the foundations of probability theory introduced by Andrey Kolmogorov in 1933. Using these axioms, this video shows how many other familiar results can be derived from these… pgee11164 probability event events intersection space union definition b. theory diagram venn size scenario fact problem rule popularity definitions subset a. From James Hopgood on September 5th, 2020 0 likes 120 plays 0 Course Code PGEE11164 Licence Type All rights reserved Date Created September 5th, 2020
03:25 Divisive clustering (top-down) Divisive clustering (top-down)	Divisive clustering (top-down) Divisive clustering (top-down) iaml hierarchical clustering points cluster means iteration clusters singleton algorithm subset groups property clustering factor instances base depth splits iterations half operation complexity From Nigel Goddard on September 25th, 2016 1 likes 1,953 plays 0 Licence Type Creative Commons - Attribution
02:21 Feature selection and feature extraction Feature selection and feature extraction	Feature selection and feature extraction Feature selection and feature extraction iaml pca attributes feature structure ways extraction variables combination combinations classifier x3 x2 selection things goal vm function d. inputs subset left From Nigel Goddard on September 25th, 2016 0 likes 2,110 plays 0 Licence Type Creative Commons - Attribution
05:52 K-d tree algorithm K-d tree algorithm	K-d tree algorithm K-d tree algorithm iaml nearest neighbours points tree median branch point neighbors half attribute side instances dataset middle x1 testing leaf base log space procedure subset From Nigel Goddard on September 21st, 2016 1 likes 2,097 plays 0 Licence Type Creative Commons - Attribution
00:46 Summary Summary	Summary Summary iaml decision trees entropy decision tree attribute algorithm forest practice training difference subset measure gain thing summary trees From Nigel Goddard on September 21st, 2016 0 likes 1,972 plays 0 Licence Type Creative Commons - Attribution
02:13 Random forest algorithm Random forest algorithm	Random forest algorithm Random forest algorithm iaml decision trees trees decision subset tree attributes algorithm forests subsets thing gain idea implementation movements connect stories success domains performance art inputs From Nigel Goddard on September 21st, 2016 1 likes 2,339 plays 0 Licence Type Creative Commons - Attribution
03:55 Decision tree regression Decision tree regression	Decision tree regression Decision tree regression iaml decision trees classes subset numbers leaf class entropy decision linear regression eyes tree subsets stock node model average variance prediction examples definition From Nigel Goddard on September 21st, 2016 0 likes 2,548 plays 0 Licence Type Creative Commons - Attribution
07:33 Information Gain Information Gain	Information Gain Information Gain subset uncertainty probability decision tree attribute plant morphology splitting entropy examples measurement tells decision theory caption complete rainy day pure subset positive higher weight point negative instance split branch computer science game tells iaml smaller subset statistical terminology number effects elementary arithmetic subtract decision trees accomplishes average larger statistical theory subsets gain negatives positives weight entropies attributes bits game wind sense numbers things root From Nigel Goddard on September 21st, 2016 1 likes 3,171 plays 0 Licence Type Creative Commons - Attribution
05:16 Decision Tree Entropy Decision Tree Entropy	Decision Tree Entropy Decision Tree Entropy subset logarithms interpretation people measurement number entropy purity determine measure totally pure tells caption complete positive proportion negative pretty percentage iaml random element whatsoever statistical terminology completely basically definition decision trees items uncertainty minus pure set effects bits log bit positives numbers element proportions negatives subsets values end base thing From Nigel Goddard on September 21st, 2016 0 likes 3,056 plays 1 Licence Type Creative Commons - Attribution
04:02 Decision Tree - Split Purity Decision Tree - Split Purity	Decision Tree - Split Purity Decision Tree - Split Purity iaml decision trees subset split negatives positives subsets measure outlook proportion instance purity sort lot splits wind partitioning attribute probability score nose positivists From Nigel Goddard on September 21st, 2016 0 likes 2,648 plays 0 Licence Type Creative Commons - Attribution

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