"Kord\u00EDk, Pavel" . . . . . "IWIM 2007" . . . . "2007-09-26+02:00"^^ . "\u0160norek, Miroslav" . . "P(KJB201210701), Z(MSM6840770012)" . "Skrbek, Miroslav" . "\u010Cepek, Miroslav" . . "IWIM 2007"@en . "Druh\u00FD mezin\u00E1rodn\u00ED workshop o induktivn\u00EDm modelov\u00E1n\u00ED se uskute\u010Dnil v Praze v kongresov\u00FDch s\u00E1lech \u010CVUT (Masarykova kolej) ve dnech 23. - 26. 9. 2007. \u00DA\u010Dastnilo se ho 50 v\u011Bdc\u016F p\u0159ev\u00E1\u017En\u011B ze zahrani\u010D\u00ED. Byly diskutov\u00E1ny teoretick\u00E9 aspekty induktivn\u00EDho modelov\u00E1n\u00ED a jeho re\u00E1ln\u00E9 aplikace."@cs . . . "43"^^ . "The 2nd International Workshop on Inductive Modeling (IWIM07) was held in Prague on September 23-26, 2007. It was the only international forum that focuses on theory, algorithms, applications, solutions, and new developments of data mining and knowledge extraction technologies which originate from Ivakhnenko's Group Method of Data Handling (GMDH) as a typical inductive modeling method. Built on principles of self-organization inductive modeling has been developing and using in several key areas for over 30 years now and can be found in data mining technologies like Polynomial Neural Networks, Adaptive Learning Networks, or Statistical Learning Networks. More recent developments also utilize Genetic Algorithms or the idea of Active Neurons and multileveled self-organization to build models from data."@en . "N\u00E1plava, Pavel" . . "[F7BC7F5BAD27]" . "The 2nd International Workshop on Inductive Modeling (IWIM07) was held in Prague on September 23-26, 2007. It was the only international forum that focuses on theory, algorithms, applications, solutions, and new developments of data mining and knowledge extraction technologies which originate from Ivakhnenko's Group Method of Data Handling (GMDH) as a typical inductive modeling method. Built on principles of self-organization inductive modeling has been developing and using in several key areas for over 30 years now and can be found in data mining technologies like Polynomial Neural Networks, Adaptive Learning Networks, or Statistical Learning Networks. More recent developments also utilize Genetic Algorithms or the idea of Active Neurons and multileveled self-organization to build models from data." . "Drchal, Jan" . . . . "Mezin\u00E1rodn\u00ED workshop o induktivn\u00EDm modelov\u00E1n\u00ED"@cs . "Koutn\u00EDk, Jan" . "IWIM 2007" . "21230" . . . "2007-09-23+02:00"^^ . . "Buk, Zden\u011Bk" . "427704" . . . . "IWIM 2007"@en . . . . . . "56"^^ . "Buryan, Petr" . . "Praha" . "11"^^ . "Marek, Rudolf" . . "RIV/68407700:21230/07:03133119!RIV08-AV0-21230___" . "11"^^ . "Kov\u00E1\u0159\u00EDk, Oleg" . . "Mezin\u00E1rodn\u00ED workshop o induktivn\u00EDm modelov\u00E1n\u00ED"@cs . "Inductive Modeling, Data Mining, GMDH"@en . "RIV/68407700:21230/07:03133119" .