Institute of Information Theory and Automation

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RNDr. Milan Studený, DrSc.

Position: 
research fellow
Mail: 
Room: 
Fax: 
286581419
Phone: 
266052304
Research interests: 
Probabilistic conditional independence structures
Publications ÚTIA: 
list
admin: 2009-11-27 14:28

Person detail

Duration: 2013 - 2015
The application of algebraic and geometric methods is one of the present trends in modern statistics. The aim of the project is to apply the methods of combinatorial optimization to problems with motivation in statistics and artificial intelligence.
Duration: 2004 - 2006
The concept of conditional independence (CI) plays an essential role in the area of decision-making under uncertainty (in artificial intelligence), in particular, in the area of probabilistic reasoning. The aim of the project is to try to solve mathematical problems which arise in connection with the methods of computer representation of CI structures and their learning based on data.

Current

Graduates

Mgr. Petr Šimeček Ph.D.
Matematicko-fyzikální fakulta UK