IV043 Inductive Logic Programming
Faculty of InformaticsAutumn 2002
- Extent and Intensity
- 2/1. 3 credit(s) (plus extra credits for completion). Recommended Type of Completion: zk (examination). Other types of completion: z (credit).
- Teacher(s)
- doc. RNDr. Lubomír Popelínský, Ph.D. (lecturer)
Mgr. Miloslav Nepil, Ph.D. (seminar tutor) - Guaranteed by
- prof. RNDr. Mojmír Křetínský, CSc.
Department of Computer Science – Faculty of Informatics
Contact Person: doc. RNDr. Lubomír Popelínský, Ph.D. - Timetable
- Tue 12:00–13:50 B011
- Prerequisites (in Czech)
- ! I043 ILP
Znalost jazyka Prolog je výhodou. - Course Enrolment Limitations
- The course is also offered to the students of the fields other than those the course is directly associated with.
- fields of study / plans the course is directly associated with
- Informatics (programme FI, B-IN)
- Informatics (programme FI, M-IN)
- Upper Secondary School Teacher Training in Informatics (programme FI, M-IN)
- Upper Secondary School Teacher Training in Informatics (programme FI, M-SS)
- Information Technology (programme FI, B-IN)
- Course objectives (in Czech)
- Bude podán přehled metod a systémů strojového učení v logice 1. řádu. Důraz je kladen na aplikace těchto metod. Součástí předmětu je projekt.
- Syllabus
- This course brings together the most important disocveries of inductive inference methods in the first order logic. As a part of that it is a project. Experience with Prolog is assumed.
- Theory of inductive inference: identification in limit, identification by enumeration, other models of learning.
- Introduction to inductive learning: operators of generalization and of specialization. Basic algorithms.
- Inductive inference in the first order logic: inductive logic programmin(ILP), basic task of ILP.
- Top-down ILP: refinement operators and refinement trees. MIS
- Interactive ILP: Queries and oracles, their types. WiM
- Empirical ILP. Aleph. Tilde.
- Complexity of ILP algorithms: PAC-learnability, PAC-learnable classes. Other models of learnability.
- Rlational data mining, frequent patterns.
- Applications of ILP.
- Projects.
- Literature
- Assessment methods (in Czech)
- Nutnou podmínkou absolvování kursu je projekt.
- Language of instruction
- Czech
- Further Comments
- The course is taught annually.
- Teacher's information
- http://www.fi.muni.cz/usr/popelinsky/ilp.html
- Enrolment Statistics (recent)
- Permalink: https://is.muni.cz/course/fi/autumn2002/IV043