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ECTS:
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4
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Lecturers in charge:
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Prof. dr. sc.
Dragan Jevtić
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Lecturers:
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Dr. sc.
Marina Bagić Babac - Lectures
dipl. ing.
Sanja Illeš - Laboratory exercises
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Take exam:
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Studomat
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English level:
1,0,0
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All teaching activities will be held in Croatian. However, foreign students in mixed groups will have the opportunity to attend additional office hours with the lecturer and teaching assistants in English to help master the course materials. Additionally, the lecturer will refer foreign students to the corresponding literature in English, as well as give them the possibility of taking the associated exams in English.
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Load:
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| Lecture type | Total |
| Lectures |
30 |
| Laboratory exercises |
15 |
* Load is given in academic hour (1 academic hour = 45 minutes)
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Description:
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Fundamentals and definitions of machine learning. State and action probabilities, and
standard patterns of machine learning behaviour. Mathematical models of neuron and
neural networks, diversity and properties of learning alorithms. Claster analisys, knowledge
representation, compression and representation from uncomplete data. Basics of associative
memories. Recursive networks and processing of time dependent patterns. Learning
algorithms: Back-propagation with extensions, Kohonen and Cascade correlation algorithm.
WTA (Winner-Take-All). Feature extraction by competitive learning - interactive or on-line
learning, Sarsa and Q-learning algorithm, Markov models. Intelligent agents and
selfadaptive control of communication services.
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Literature:
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- Reinforcement Learning:An Introduction Richard S. Sutton, Andrew G. Barto MIT Press, Cambridge 1998
- Neurodynamic programming Dimitri P. Bertsekas, John Tsitsiklis Athena Scientific, MIT 1996
- Parallel Distributed Processing: Explorations in the Microstructure of Cognition David E. Rumelhart MIT Press 1987
- Digitalni automati Mladen Tkalić Liber 1991
- Learning automata - An Introduction K.S. Narendra, M.A.L. Thathachar Prentice Hall 1989
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1. semester
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course for
profile
Telecommunications and Informatics
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3. semester
|
course for
profile
Telecommunications and Informatics
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