Národní úložiště šedé literatury Nalezeno 2 záznamů.  Hledání trvalo 0.00 vteřin. 
Language of Preference Formulae
Nedbal, Radim
There is a need for handling preferences in relational query languages that arises naturally in real-world applications dealing with possible choices generated by the current state of the world captured in the relational data model. To address this problem, we propose a fully declarative language for encoding preferences conditional on the current state of the world represented as a relation database instance. Being based purely on the qualitative type of information about the preference model, the language is intuitive and leads to a exible approach for specifying the most desirable choices of autonomous systems that act on behalf of their designers. Throughout the paper, we use an example of a control support system for a bank surveillance to motivate the need for our framework and to illustrate it.
Accuracy Estimates for Surrogate Solutions of Integral Equations by Neural Networks
Kůrková, Věra
Surrogate solutions of integral equations by neural networks are investigated theoretically. Upper bounds on speed of convergence of approximate solutions computable by neural networks with increasing model complexity to exact solutions described by Fredholm theorem are derived.

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