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MEMBERS OF RESEARCH CENTER
Research Centre
Data - Algorithms - Decision Making
Data - Algorithms - Decision Making
Established in 2005 under support of MŠMT ČR (project 1M0572)
Lectures and Presetations
Bayesian Learning: Back To Basis.
Lecturer:
From:
Apr. 11 2006 2:00PM
To:
Apr. 11 2006 3:00PM
Place:
místnost 474, ÚTIA AV ČR
Description:
Bayesian estimation is a standard paradigm of learning that fits well to a subsequent decision making. Never ending controversy between it and Fisherian formulation of statistics and its known restrictions make useful a periodic way back to its basis. In this talk, an attempt is made in this respect. It may serve as
- an outline of a possible set of assumptions hidden behind the use of Bayesian estimation
- a description of very basic Bayesian tools - sketch of main open learning problems
Warning: the talk is given by an engineer so that no mathematical rigor can be expected.
- an outline of a possible set of assumptions hidden behind the use of Bayesian estimation
- a description of very basic Bayesian tools - sketch of main open learning problems
Warning: the talk is given by an engineer so that no mathematical rigor can be expected.
Contact person:
Within the event:
Pravidelný seminář Rozhodování a řízení za neurčitosti. (Contact person: Miroslav Kárný)