Logo ČVUT
CZECH TECHNICAL UNIVERSITY IN PRAGUE
STUDY PLANS
2020/2021

Symbolic Machine Learning

Login to KOS for course enrollment Display time-table
Code Completion Credits Range Language
BE4M36SMU Z,ZK 6 2P+2C English
The course cannot be taken simultaneously with:
Symbolic Machine Learning (B4M36SMU)
The course is a substitute for:
Symbolic Machine Learning (B4M36SMU)
Lecturer:
Filip Železný (guarantor), Ondřej Kuželka
Tutor:
Filip Železný (guarantor), Jáchym Barvínek, Ondřej Hubáček, Ondřej Kuželka, Petr Ryšavý, Martin Svatoš
Supervisor:
Department of Computer Science
Synopsis:

The course will explain methods through which an intelligent agent can learn, that is, improve its behavior by interacting with the environment. The learning scenarios will include

Concept learning: we will study online learning and batch learning from i.i.d. data. We will define the mistake-bound and PAC model of learning. Strong emphasis will be on logical representations of learned knowledge, including operators for generalization of logic clauses.

Learning probability distributions with a graphical model (Bayes Networks)

Reinforcement learning

Universal learning with the Kolmogorov prior.

Time permitting, we will also discuss active learning with queries. The lectures are given in English for all students.

Requirements:
Syllabus of lectures:
Syllabus of tutorials:
Study Objective:
Study materials:
Note:
Further information:
https://cw.fel.cvut.cz/b202/courses/smu/start
Time-table for winter semester 2020/2021:
Time-table is not available yet
Time-table for summer semester 2020/2021:
06:00–08:0008:00–10:0010:00–12:0012:00–14:0014:00–16:0016:00–18:0018:00–20:0020:00–22:0022:00–24:00
Mon
roomKN:E-301
Železný F.
Kuželka O.

16:15–17:45
(lecture parallel1)
Karlovo nám.
Šrámkova posluchárna K9
roomKN:E-307

18:00–19:30
(lecture parallel1
parallel nr.103)

Karlovo nám.
HW-lab K307
Tue
Fri
Thu
Fri
The course is a part of the following study plans:
Data valid to 2021-05-15
For updated information see http://bilakniha.cvut.cz/en/predmet4870206.html