Lenka Skovajsová

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This paper deals with information retrieval of text documents, and their clustering into some other feature space. The aim of this paper is to reduce the dimension of the document space by the nonlinear Hebbian neural network. As can be seen from the results, not only dimension reduction of document space is made, but also clustering of these documents into(More)
The paper deals with text document retrieval from the given document collection by using neural networks, namely cascade neural network, linear and nonlinear Hebbian neural networks and linear autoassociative neural network. With using neural networks it is possible to reduce the dimension of the document search space with preserving the highest retrieval(More)
The paper deals with text document retrieval from the given document collection by using neural networks, namely cascade neural network model, linear and nonlinear Hebbian neural networks and linear autoassociative neural network. With using neural networks it is possible to reduce the dimension of the search space with preserving the highest retrieval(More)
Information retrieval is an important research area in computer science. Information retrieval is concerned with the storage of text documents and their subsequent retrieval in response to user's requests for information. There are several Information Retrieval models developed for efficient document retrieval. In this survey paper we describe major IR(More)
The aim of this paper is to survey the feed-forward and self-organizing neural networks for the text document retrieval models, which retrieve text documents in a natural language. These models come from linguistic and conceptual approach of the text document analysis, where problems of document representation and document database creation are being(More)
The aim of the paper is to describe the information retrieval model which retrieves the information from the text documents in Slovak language and which, for this purpose, uses the neural networks. This model comes from linguistic and conceptual approach for the analysis of text documents in Slovak language. The neural network model, based on multilayer(More)
The aim of the paper is to describe the information retrieval model which retrieves information from text documents in natural language by neural networks. This model comes from the linguistic and conceptual approach for the analysis of text documents. The neural network model accepts the structure of conceptual, lingvistic oriented model, where the problem(More)
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