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	Functional Representation for Product Logic Cintula, Petr Detailed record
	Connectors in the Context of OMG D&C Specifications Bulej, Lubomír ; Bureš, Tomáš Detailed record
	Formal Semantics for Fuzzy Yes-No Questions Běhounek, Libor Detailed record
	Doktorandský den '04 Hakl, František Detailed record
	The Linear Complementarity Problem and Quadratic Programming (A Brief Introductory Text) Rohn, Jiří Fulltext: content.csg - PDF Plný tet: v918-04 - PDF Detailed record
	New NN Approach to Dimensionality Reduction of Multidimensional Data Húsek, Dušan ; Frolov, A. A. ; Řezanková, H. ; Snášel, Václav ; Keprt, A. Detailed record
	Interior Point Methods for Large-Scale Nonlinear Programming Lukšan, Ladislav ; Matonoha, Ctirad ; Vlček, Jan Plný tet: PDF Detailed record
	Efficient Methods for Large-Scale Unconstrained Optimization Lukšan, Ladislav ; Vlček, Jan Fulltext: content.csg - PDF Plný tet: v915-04 - PDF Detailed record
	A Shifted Steihaug-Toint Method for Computing a Trust-Region Step Lukšan, Ladislav ; Matonoha, Ctirad ; Vlček, Jan Plný tet: PDF Detailed record
	Okrajový jev v mnohorozměrných datech Jiřina, Marcel ; Jiřina jr., M. In this paper we show some strange features of multidimensional data and their influence on classification. We introduce the probability distribution mapping function, and the distribution density mapping function which maps probability density distribution of points in n-dimensional space to a similar distribution in one-dimensional space of distances. The power approximation of the probability distribution mapping function is introduced and an application for a probability density estimation including the boundary effect in high dimensions is shown. Some results obtained with the new method for classification are shown. Detailed record

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