Recent Advances in Ensembles for Feature Selection
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Recent Advances in Ensembles for Feature Selection\nby Ver\u00F3nica Bol\u00F3n-Canedo\nPaperback\nEnglish\n\nBrand new copy from BookCurl \u2013 the UK independent online bookseller.\n\n------------------------------\nBook details\n------------------------------\nAuthor: Ver\u00F3nica Bol\u00F3n-Canedo\nTitle: Recent Advances in Ensembles for Feature Selection\nFormat: Paperback\nLanguage: English\nTopic: Artificial intelligence\nPublisher: Springer Nature Switzerland AG\nPublication year: 2019\nEdition: Softcover reprint of the original 1st ed. 2018\nISBN-13: 9783030079291\nISBN-10: 3030079295\nRRP: \u00A389.99\n\n------------------------------\nDescription\n------------------------------\n\nThis book offers a comprehensive overview of ensemble learning in the field of feature selection (FS), which consists of combining the output of multiple methods to obtain better results than any single method. It reviews various techniques for combining partial results, measuring diversity and.
Recent Advances in Ensembles for Feature Selection
Recent Advances in Ensembles for Feature Selection\nby Ver\u00F3nica Bol\u00F3n-Canedo\nPaperback\nEnglish\n\nBrand new copy from BookCurl \u2013 the UK independent online bookseller.\n\n------------------------------\nBook details\n------------------------------\nAuthor: Ver\u00F3nica Bol\u00F3n-Canedo\nTitle: Recent Advances in Ensembles for Feature Selection\nFormat: Paperback\nLanguage: English\nTopic: Artificial intelligence\nPublisher: Springer Nature Switzerland AG\nPublication year: 2019\nEdition: Softcover reprint of the original 1st ed. 2018\nISBN-13: 9783030079291\nISBN-10: 3030079295\nRRP: \u00A389.99\n\n------------------------------\nDescription\n------------------------------\n\nThis book offers a comprehensive overview of ensemble learning in the field of feature selection (FS), which consists of combining the output of multiple methods to obtain better results than any single method. It reviews various techniques for combining partial results, measuring diversity and.
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