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CZECH TECHNICAL UNIVERSITY IN PRAGUE
STUDY PLANS
2019/2020

Symbolic Machine Learning

The course is not on the list Without time-table
Code Completion Credits Range Language
BE4M36SMU Z,ZK 6 2P+2C
The course cannot be taken simultaneously with:
Symbolic Machine Learning (B4M36SMU)
The course is a substitute for:
Symbolic Machine Learning (B4M36SMU)
Lecturer:
Tutor:
Supervisor:
Department of Computer Science
Synopsis:

The course will explain methods through which an intelligent agent can learn, that is, improve its behavior from observed data and background knowledge. The learning scenarios will include on-line learning and learning from i.i.d. data (along with the PAC theory of learnability), as well as the active and reinforcement learning scenarios. Agent's knowledge will be represented through the language of logic and through graphical models. The course is given in English to all students.

Requirements:
Syllabus of lectures:

1. Agent-environment model, interaction principles

2. Concept learning, on-line learnability, version space

3. Learning from i.i.d. data, PAC-learnability, VC-dimension

4. Learnability of propositional-logic concepts

5. Learning a graphical probabilistic model

6. Learning a graphical probabilistic model (2)

7. PAC-learning predicate-logic CNF

8. Learning predicate-logic clauses

9. Learning a relational graphical probabilistic model

10. Learning a relational graphical probabilistic model (2)

11. Active learning

12. Reinforcemenent learning

13. Reinforcemenent Learning (2)

14. Solomonoff induction and universal AI

Syllabus of tutorials:
Study Objective:
Study materials:

Course textbook available at https://cw.fel.cvut.cz/wiki/courses/smu/start

Stuart Russell and Peter Norvig: Artificial Intelligence: A Modern Approach, Prentice Hall 2010

Luc De Raedt: Logical and Relational Learning, Springer 2008

Marcus Hutter: Universal artificial intelligence, Springer 2005

Note:
Further information:
No time-table has been prepared for this course
The course is a part of the following study plans:
Data valid to 2019-10-18
For updated information see http://bilakniha.cvut.cz/en/predmet4870206.html