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EN
There are many search engines in the web, but they return a long list of search results, ranked by their relevancies to the given query. Web users have to go through the list and examine the titles and (short) snippets sequentially to identify their required results. In this paper we present how usage of Singular Value Decomposition (SVD) as a very good solution for search results clustering. Results are presented by visualizing neural network. Neural network is responsive for reducing result dimension to two dimensional space and we are able to present result as a picture that we are able to analyze.
2
Content available remote Text comparison using data compression
EN
Similarity detection is very important in the field of spam detection, plagiarism detection or topic detection. The main algorithm for comparison of text document is based on the Kolmogorov Complexity, which is one of the perfect measures for computation of the similarity of two strings in defined alphabet. Unfortunately, this measure is incomputable and we must define several approximations which are not metric at all, but in some circumstances are close to this behaviour and may be used in practice.
PL
W artykule omówiono metody rozpoznawania podobieństwa tekstu. Głównie używanym algorytmem jest Kolmogotov Complexity. Głównym ograniczeniem jest brak możliwości dane algorytmu są trudne do dalszego przetwarzania numerycznego – zaproponowano szereg aproksymacji.
3
Content available remote Electroencephalogram classification methods
EN
Today still big challenge in world to find efficient technique for perform recognition on mental tasks, and distinguish between them. This allow us to use Brain Computer Interface applications to helps disabled people to interaction with environment and control on external devices.
PL
Obecnie duze znacznie ma rozpoznawanie aktywności umysłowej dzięki analizie aktywności mózgu. W artykule omówiono interfejs komputer-mózg.
4
Content available remote Analysis of the Arabic using neural networks: an overview
EN
This paper is a quick review of some of the scholarly work aiming at solving various problems of the Arabic language using neural networks. It includes some research work concerning online recognition of handwritten Arabic characters, speech recognition, offline character text recognition, text categorization and recognition of printed text. This paper concludes that more research should be conducted in this area considering the importance of the Arabic language, the rapid growth of internet users in the Arab world, and the widespread usage of Arabic characters by many languages other than Arabic.
PL
W artykule przedstawiono metody analizy języka arabskiego z wykorzystaniem sieci neuronowych. Analizowano możliwości rozpoznawania pisma odręcznego, drukowanego jak i mowy.
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