Результаты поиска по 'classification':
Найдено статей: 42
  1. Bobkov S.A., Teslyuk A.B., Gorobtsov O.Yu., Yefanov O.M., Kurta R.P., Ilyin V.A., Golosova M.V., Vartanyants I.A.
    XFEL diffraction patterns representation method for classification, indexing and search
    Computer Research and Modeling, 2015, v. 7, no. 3, pp. 631-639

    The paper presents the results of application of machine learning methods: principle component analysis and support vector machine for classification of diffraction images produced in experiments at free-electron lasers. High efficiency of this approach presented by application to simulated data of adenovirus capsid and bluetongue virus core. This dataset were simulated with taking into account the real conditions of the experiment on lasers free electrons such as noise and features of used detectors.

    Keywords: principle component analysis, support vector machine, coherent diffraction imaging.
    Views (last year): 6.
  2. Dobrynin V.N., Filozova I.A.
    Cataloging technology of information fund
    Computer Research and Modeling, 2015, v. 7, no. 3, pp. 661-673

    The article discusses the approach to the improvement of information processing technology on the basis of logical-semantic network (LSN) Question–Answer–Reaction aimed at formation and support of the catalog service providing efficient search of answers to questions.

    The basis of such a catalog service are semantic links, reflecting the logic of presentation of the author's thoughts within the framework this publication, theme, subject area. Structuring and support of these links will allow working with a field of meanings, providing new opportunities for the study the corps of digital libraries documents. Cataloging of the information fund includes: formation of lexical dictionary; formation of the classification tree for several bases; information fund classification for question–answer topics; formation of the search queries that are adequate classification trees the question–answer; automated search queries on thematic search engines; analysis of the responses to queries; LSN catalog support during the operational phase (updating and refinement of the catalog). The technology is considered for two situations: 1) information fund has already been formed; 2) information fund is missing, you must create it.

    Keywords: information fund, Big Data, information search, pertinence, navigation, search engine, semantic relations, logic-semantic network «Question–Answer–Reaction».
    Views (last year): 3.
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