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55:01 CL - 18 - rules CL - 18 - rules	CL - 18 - rules This is a raw video from 2019. I've not yet had time to edit it into chunks. If you have any questions, or find any errors, please let me know on Piazza.This lecture introduces a very important… inf1a introduction to computation informatics 1 computation and logic rules machine things star friend proof language relation thing string solution theorem rule expression comma languages start sets words sigma From Haoran Peng on November 30th, 2020 0 likes 200 plays 0 Course Code INFR08025 Licence Type All rights reserved The University of Edinburgh Language English
03:32 CL - Implication CL - Implication	CL - Implication We derive the implication rule using the rules introduced last week. inf1a introduction to computation informatics 1 computation and logic implies b. delta rule gamma satisfies comma left universe implication rules thing game table truth bottom chain deltas gammas trick From Haoran Peng on October 20th, 2020 0 likes 369 plays 0 Course Code INFR08025 Licence Type All rights reserved The University of Edinburgh Language English
04:04 CL - Lecture 4.i - Reduction 1 CL - Lecture 4.i - Reduction 1	CL - Lecture 4.i - Reduction 1 We use the rules to reduce a sequent to a conjunction of simpler sequents. In this example we find that the expression asserted by the sequent is a tautology — it is equivalent to the empty… inf1a introduction to computation informatics 1 computation and logic logic thing rule universe expression delta p. 4x hand connectives left piece end connective comma things brackets statement rules o. row From Claudia-Elena Chirita on October 15th, 2020 0 likes 382 plays 0 Course Code INFR08025 Licence Type All rights reserved The University of Edinburgh Language English
10:23 CL - Lecture 4.j - Reduction 2 CL - Lecture 4.j - Reduction 2	CL - Lecture 4.j - Reduction 2 We use the rules to reduce a sequent to a conjunction of simple sequents, sequents that only mentions propositional letters, with no connectives, and no repetitions — in this example, we find… inf1a introduction to computation informatics 1 computation and logic logic left universe rule depth thing rules tree counterexample individual things leaves side branches comma deltas trees sequence 4x commerce end From Claudia-Elena Chirita on October 15th, 2020 0 likes 335 plays 0 Course Code INFR08025 Licence Type All rights reserved The University of Edinburgh Language English
04:47 CL - Lecture 4.f - Sequents 1 CL - Lecture 4.f - Sequents 1	CL - Lecture 4.f - Sequents 1 We interpret additional predicates before the turnstile. These simply express validity in a sub-universe. This means that for any sound rule the corresponding rule with additional predicates is… inf1a informatics 1 computation and logic logic sequents things universe gamma delta end properties comma thing rules collection a. places satisfies diagram sets nazis b. chromosomal aristotle lots From Claudia-Elena Chirita on October 15th, 2020 0 likes 410 plays 0 Course Code INFR08025 Licence Type All rights reserved The University of Edinburgh Language English
02:22 CL - Lecture 4.e - Sequents 0 CL - Lecture 4.e - Sequents 0	CL - Lecture 4.e - Sequents 0 The following videos introduce sequents, a far-reaching generalisation of the idea underlying Aristotle's propositions. We have already discussed the introduction of multiple antecedents… inf1a computation and logic logic sequents informatics 1 introduction to computation things left rules sequence thing end contraposition comma satisfaction game moment aob iop inference c. b. idea jensen ideas lot From Claudia-Elena Chirita on October 15th, 2020 0 likes 382 plays 0 Course Code INFR08025 Licence Type All rights reserved The University of Edinburgh Language English
21:36 5.2-part4: Expected value, covariance,… 5.2-part4: Expected value, covariance, correlation of jointly distributed RV (exercises)	5.2-part4: Expected value, covariance, correlation of jointly distributed RV (exercises) . ... expectation comma times sum y. formula table covariance persons individuals property trick homework variance variable square summation definition seat minus From Vesselin Velichkov on July 20th, 2020 0 likes 33 plays 0 Licence Type All rights reserved The University of Edinburgh
21:01 5.2-part3: Expected value, covariance,… 5.2-part3: Expected value, covariance, correlation of jointly distributed RV (exercises)	5.2-part3: Expected value, covariance, correlation of jointly distributed RV (exercises) . ... subscript times comma y. function covariance values computation sum table mu formula effects mass probability exercise variables sigma summation x. From Vesselin Velichkov on July 20th, 2020 0 likes 37 plays 0 Licence Type All rights reserved The University of Edinburgh
23:29 5.2-part2: Expected value, covariance,… 5.2-part2: Expected value, covariance, correlation of jointly distributed RV (cont.)	5.2-part2: Expected value, covariance, correlation of jointly distributed RV (cont.) . ... correlation variables values covariance sigma coefficient distribution comma region times minus y. 3d rho linear variance x. measurement probability expression From Vesselin Velichkov on July 20th, 2020 0 likes 34 plays 0 Licence Type All rights reserved The University of Edinburgh
24:46 5.2-part1: Expected value, covariance,… 5.2-part1: Expected value, covariance, correlation of jointly distributed RV	5.2-part1: Expected value, covariance, correlation of jointly distributed RV . ... variables values covariance subscript times distribution y. mu variance effects function space comma probability notice sum variable definition difference expectation From Vesselin Velichkov on July 20th, 2020 1 likes 42 plays 1 Licence Type All rights reserved The University of Edinburgh
24:58 5.1-part2: Jointly distributed random variables:… 5.1-part2: Jointly distributed random variables: independence, conditional probability	5.1-part2: Jointly distributed random variables: independence, conditional probability . ... variables probability function density condition mass subset independence pdf definition functions subscript x. events mind formula integration x1 comma values From Vesselin Velichkov on July 20th, 2020 0 likes 44 plays 0 Licence Type All rights reserved The University of Edinburgh
23:26 5.1-part1: Jointly distributed random variables:… 5.1-part1: Jointly distributed random variables: JPMF, MPMF, JPDF, MPDF	5.1-part1: Jointly distributed random variables: JPMF, MPMF, JPDF, MPDF . ... probability function variables comma mass space values 3d sample y. region pdf density capital analogy point pmf rectangle intervals events From Vesselin Velichkov on July 20th, 2020 2 likes 72 plays 0 Licence Type All rights reserved The University of Edinburgh
09:16 4.4-part2: Exponential distribution: relation to… 4.4-part2: Exponential distribution: relation to Poisson distribution	4.4-part2: Exponential distribution: relation to Poisson distribution . ... distribution events poisson alpha minus probability interval event t. parameter lambda relation fact place process comma complement proposition expression mu From Vesselin Velichkov on July 20th, 2020 0 likes 38 plays 0 Licence Type All rights reserved The University of Edinburgh
09:13 3.4-part4: The Binomial probability distribution… 3.4-part4: The Binomial probability distribution (exercises)	3.4-part4: The Binomial probability distribution (exercises) . ... probability student minus topic topics choice paper exercise comma pmf pfa loan b. distribution session tool values setting pre advantages From Vesselin Velichkov on July 20th, 2020 0 likes 39 plays 0 Licence Type All rights reserved The University of Edinburgh
22:00 3.2-part3: PMF, CDF (exercises) 3.2-part3: PMF, CDF (exercises)	3.2-part3: PMF, CDF (exercises) . ... probability boards capital outcomes function x. comma values students mass board pair event definition pmf distribution combination inspection question histogram From Vesselin Velichkov on July 20th, 2020 1 likes 63 plays 1 Licence Type All rights reserved The University of Edinburgh

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