Search for tag: "j."

7 Media

02:31 Johannes Heiny EVA Talk Preview Johannes Heiny EVA Talk Preview	Johannes Heiny EVA Talk Preview This talk has captions. You can remove these by pressing CC on the video toolbar. Name: Johannes Heiny Talk Title: Extremes of interpoint distances of high-dimensional random vectors Abstract: We… icms eva theory solution data vectors random random vectors high-dimensional distances interpoint extremes points point process diameter ball function infinity pairs distance unit convergence interest conventions applications examples talk j. norm From Anna Munro 0 likes 15 plays 0 Licence Type All rights reserved Language English
09:47 12.c 12.c	12.c The third video of the Inf2d lecture on Inference in First-Order Logic. inf2d reasoning and agents artificial intelligence inference first-order logic backward chaining algorithm base knowledge query substitution goal depth variables function antecedent conjuncts rule unifies conclusion resolution programming fact j. acre substitutions From Claudia-Elena Chirita 0 likes 170 plays 0 Course Code INFR08010 Licence Type All rights reserved The University of Edinburgh Language English
20:33 Jonathan Bradley.mp4 Jonathan Bradley.mp4	Jonathan Bradley.mp4 This is the talk by Jonathan Bradley at the 2018 ISBA World Meeting, Edinburgh j bradley isba From Iain SBA 0 likes 4 plays 0 Licence Type All rights reserved
19:25 James Scott.mp4 James Scott.mp4	James Scott.mp4 This is the talk by James Scott at the 2018 ISBA World Meeting, Edinburgh isba j scott From Iain SBA 0 likes 7 plays 0 Licence Type All rights reserved
07:59 Lance-Williams algorithm Lance-Williams algorithm	Lance-Williams algorithm Lance-Williams algorithm iaml hierarchical clustering distance cluster clusters constants numbers difference j. distances matrix algorithm argument rule minimum decay alright points things max result minus From Nigel Goddard 1 likes 2,371 plays 0 Licence Type Creative Commons - Attribution
04:16 The K-means algorithm The K-means algorithm	The K-means algorithm The K-means algorithm iaml k-means centroid points distance point step cluster j. centroids space instances iterations algorithm dimensions clusters formula a. function representation instance convergence From Nigel Goddard 3 likes 2,388 plays 0 Licence Type Creative Commons - Attribution
04:01 Missing Values in Naive Bayes Missing Values in Naive Bayes	Missing Values in Naive Bayes Missing Values in Naive Bayes iaml probability tail head event j. values observations term toss reason summation probabilities mark question coin fact hack test attribute observation From Nigel Goddard 2 likes 3,067 plays 2 Licence Type Creative Commons - Attribution

the university of edinburgh

University affiliations

The University of Edinburgh is a charitable body, registered in Scotland, with registration number SC005336, VAT Registration Number GB 592 9507 00, and is acknowledged by the UK authorities as a “Recognised body” which has been granted degree awarding powers.

Any views expressed within media held on this service are those of the contributors, should not be taken as approved or endorsed by the University, and do not necessarily reflect the views of the University in respect of any particular issue.

Unless explicitly stated otherwise, all material is copyright © The University of Edinburgh 2021 and may only be used in accordance with the terms of the licence.