Institute of Information Theory and Automation

Publications

Basic Publications

Basic publications of AS Department related to Bayesian theory are:
      - Bayesian approach to system identification by V. Peterka 
      - Recursive Nonlinear Estimation. A Geometric Approach, Springer (London 1996) by R. Kulhavý 
      - Dealing with Complexity. A Neural Networks Approach, Springer, (Berlin 1997) by M. Kárný, K. Warwick K., V. Kůrková
      - Digital Self-tuning Controllers by V. Bobál, J. Böhm, J. Macháček, J. Fessl
      - Optimized Bayesian Dynamic Advising: Theory and Algorithms by M. Karny et al.
      - The Variational Bayes Method in Signal Processing by V. Šmídl and A. Quinn
      - Decision Making with Imperfect Decision Makers, by T.V. Guy, M. Kárný, D.H. Wolpert, Springer, 2012.

Presentations

Presentations in *.ppt and *.pdf formats from AS seminars, CSKI seminars and other events.

Academic Papers of the Department

Personal publications of members of the department can be found on their personal webpages.
Responsible for information: AS
Last modification: 22.03.2012
Institute of Information Theory and Automation