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Classification and Expert Systems

Anotace

After an introductory section will discuss the basic concepts. It will be followed by an overview of classification methods describing their options and practical use. Furthermore, the basic architecture of an expert system will be discribed with an example of a simple implementation, which will eventually be supplemented by a classification system.

Povinná literatura

A. Kidd, Knowledge Acquisition for Expert Systems: A Practical Handbook, 2012, e-ISBN-13: 978-1-4316-1823-1 ;
S.J. Russell and P. Norvig, Artificial Intelligence: A Modern Approach (2nd ed), Prentice-Hall, 2002. (1132 s.) ISBN-10: 0137903952 , ISBN-13: 9780137903955 

Doporučená literatura

J. Pearl: Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference (Paperback). Morgan Kaufmann, 1998 (552 s.) ISBN-10: 1558604790 , ISBN-13: 978-1558604797 


Language of instruction čeština
Code 545-0938
Abbreviation KES
Course title Classification and Expert Systems
Coordinating department Department of Economics and Control Systems
Course coordinator prof. Ing. Juraj Spalek, PhD.