3 - Session 3/ClipID:37063 previous clip next clip

Keywords: Bayesian Inference Information Theory Information entropy
Recording date 2021-10-25

Course

Information Theory and Coding [Winter 2021-2022]

Lecturer

Ali Bereyhi

Via

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Language

English

Organisational Unit

Friedrich-Alexander-Universität Erlangen-Nürnberg

Producer

Friedrich-Alexander-Universität Erlangen-Nürnberg

Format

lecture

Context

On demand

Type

university lecture

This is the recoding of the 3rd session given on Monday, October 25th, 2021. In this session, we first show that "Majority Vote" is Bayesian optimal. We then start with the basic definitions in information theory, i.e., information content and entropy. We would finally discuss some basic mathematical tools, namely, Jensen's and Gibbs' Inequality.

Up next

4 - Session 4 (Tutorial 1)
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2021-10-29
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5 - Session 5
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2021-11-05
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6 - Session 6 (Tutorial 2)
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2021-11-08
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7 - Session 7
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2021-11-12
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8 - Session 8
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2021-11-15
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