Search Results - "Kárný, Miroslav"
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A new methodology is outlined and demonstrated on the improvement of uncertainty and sensitivity analysis based on the random sampling method
Published in Stochastic environmental research and risk assessment (01-06-2022)“…In several hours of a calm meteorological situation, a relatively significant level of radioactivity may accumulate around the source. When the calm situation…”
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Online Prediction Under Model Uncertainty via Dynamic Model Averaging: Application to a Cold Rolling Mill
Published in Technometrics (01-02-2010)“…We consider the problem of online prediction when it is uncertain what the best prediction model to use is. We develop a method called Dynamic Model Averaging…”
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Fully probabilistic design of strategies with estimator
Published in Automatica (Oxford) (01-07-2022)“…The axiomatic fully probabilistic design (FDP) of decision strategies strictly extends Bayesian decision making (DM) theory. FPD also models the closed…”
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On assigning probabilities to new hypotheses
Published in Pattern recognition letters (01-10-2021)“…•Knowledge mining on varying sets of compound hypotheses is inspected.•Bayesian learning is equipped with technique allowing to extend the set of…”
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Axiomatisation of fully probabilistic design revisited
Published in Systems & control letters (01-07-2020)“…Fully probabilistic design (FPD) of control strategies models both the closed control loop and control objectives by joint probabilities of involved variables…”
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Fully probabilistic design unifies and supports dynamic decision making under uncertainty
Published in Information sciences (01-01-2020)“…The fully probabilistic design (FPD) of decision strategies models the closed decision loop as well as decision aims and constraints by joint probabilities of…”
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Approximate Bayesian recursive estimation
Published in Information sciences (20-11-2014)“…Bayesian learning provides a firm theoretical basis of the design and exploitation of algorithms in data-streams processing (preprocessing, change detection,…”
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Towards on-line tuning of adaptive-agent’s multivariate meta-parameter
Published in International journal of machine learning and cybernetics (01-09-2021)“…A decision-making (DM) agent models its environment and quantifies its DM preferences. An adaptive agent models them locally nearby the realisation of the…”
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Recursive estimation of high-order Markov chains: Approximation by finite mixtures
Published in Information sciences (01-01-2016)“…•High-order Markov chain is approximated by mixture of low order Markov chains.•Corresponding Bayesian approximate recursive estimator is proposed.•Forgetting…”
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Model-based preference quantification
Published in Automatica (Oxford) (01-10-2023)“…Any prescriptive theory of decision-making (DM) has to cope with the common DM agents’ inability to fully specify their preferences dependent on several…”
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Discounted fully probabilistic design of decision rules
Published in Information sciences (01-02-2025)“…Axiomatic fully probabilistic design (FPD) of optimal decision rules strictly extends the decision making (DM) theory represented by Markov decision processes…”
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Novel simulation technique of radioactive aerosol substances propagation into the motionless atmosphere suddenly disseminated by wind to surrounding environment
Published in Annals of nuclear energy (01-01-2022)“…Accidental discharges of radioactive aerosol into the motionless (calm) atmosphere are examined with aim to quantify ensuing radiological impact on population…”
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Mixture ratio modeling of dynamic systems
Published in International journal of adaptive control and signal processing (01-05-2021)“…Summary Any knowledge extraction relies (possibly implicitly) on a hypothesis about the modelled‐data dependence. The extracted knowledge ultimately serves to…”
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Fully probabilistic control design in an adaptive critic framework
Published in Neural networks (01-12-2011)“…Optimal stochastic controller pushes the closed-loop behavior as close as possible to the desired one. The fully probabilistic design (FPD) uses probabilistic…”
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Towards probabilistic synchronisation of local controllers
Published in International journal of systems science (17-02-2017)“…The traditional use of global and centralised control methods fails for large, complex, noisy and highly connected systems, which typify many real-world…”
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Optimal design of priors constrained by external predictors
Published in International journal of approximate reasoning (01-05-2017)“…This paper exploits knowledge made available by an external source in the form of a predictive distribution in order to elicit a parameter prior. It uses the…”
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Fusion of probabilistic unreliable indirect information into estimation serving to decision making
Published in International journal of machine learning and cybernetics (01-12-2021)“…Bayesian decision making (DM) quantifies information by the probability density (pd) of treated variables. Gradual accumulation of information during acting…”
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Fully probabilistic design of hierarchical Bayesian models
Published in Information sciences (10-11-2016)“…The minimum cross-entropy principle is an established technique for design of an unknown distribution, processing linear functional constraints on the…”
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Axiomatisation of fully probabilistic design
Published in Information sciences (01-03-2012)“…This text provides background of fully probabilistic design (FPD) of decision-making strategies and shows that it is a proper extension of the standard…”
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Scalable Harmonization of Complex Networks With Local Adaptive Controllers
Published in IEEE transactions on systems, man, and cybernetics. Systems (01-03-2017)“…Computational and communication complexities call for distributed, robust, and adaptive control. This paper proposes a promising way of bottom-up design of…”
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