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	Rates of Approximation of Smooth Functions by Gaussian Radial-Basis Networks Kainen, P.C. ; Kůrková, Věra ; Sanguineti, M. Fulltext: content.csg - PDF Plný tet: v976-06 - PDF Detailed record
	Mathematical Modelling of Generalization Kůrková, Věra Learning with generalization can be modeled using regularization, which was developed for a search of stable solutions of tasks for physics. In learning theory generalization can be understood as a certain kind of stability. Detailed record
	Integral Combinations of Heavisides Kainen, P.C. ; Kůrková, Věra ; Vogt, A. Fulltext: content.csg - PDF Plný tet: v968-06 - PDF Detailed record
	Jádrové regularizční sítě Kudová, Petra The paper deals with Kernel Based Regularization Networks. We propose a technique for estimation of the explicit parameters of the learning algorithm and introduce new types of kernels - Product and Sum Kernels. Described algorithms are demonstrated on experiments. Detailed record
	Machine Learning with Generalization Capability Kůrková, Věra Generalization capability in learning of artificial neutral networks from examples can be modelled mathematically using regularization, which was developed as a tool for stability of solutions inverse problems. Detailed record

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