Chapter 27. Knowledge in Learning 9.2 - 27.1. Logical Formulations of Learning (Part 2)/ClipID:30393 previous clip next clip

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Recording date 2021-03-30
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Course

Artificial Intelligence (AI-2) SS 2021

Lecturer

Prof. Dr. Michael Kohlhase

Via

Free

Language

English

Organisational Unit

Professur für Wissensrepräsentation und -verarbeitung

Producer

Friedrich-Alexander-Universität Erlangen-Nürnberg

Format

lecture

Type

university lecture

Explanation of different approaches of adding background knowledge to learning. 

Up next in Chapter

Chapter 27. Knowledge in Learning 9.3 - 27.2. Explanation-Based Learning
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Chapter 27. Knowledge in Learning 9.4 - 27.3. Relevance-Based Learning
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Chapter 27. Knowledge in Learning 9.5 - 27.4.1. Inductive Logic Programming: An Example
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Chapter 27. Knowledge in Learning 9.6 - 27.4.2. Inductive Logic Programming: Top-Down Inductive Learning: FOIL
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Chapter 27. Knowledge in Learning 9.7 - 27.4.3. Inductive Logic Programming: Inverse Resolution
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