"Nen\u00ED k dispozici"@cs . "Nen\u00ED k dispozici"@cs . . "The task of critical importance is to extract knowledge from an inductive model, once it was built. There are several techniques that can be used for this purpose. Some of them are well known (e.g. generating of math formula from a model) and some of them are to be introduced in this paper. Knowledge extraction (of the system modelled) by means of visualisation of its behaviour for both regression and classification problems will be described. Two methods telling us how to derive feature ranking from inductive model conclude the paper."@en . . . . "1"^^ . "Proceedings of the International Workshop on Inductive Modeling IWIM-2005" . "Nen\u00ED k dispozici"@cs . "526873" . . . "The task of critical importance is to extract knowledge from an inductive model, once it was built. There are several techniques that can be used for this purpose. Some of them are well known (e.g. generating of math formula from a model) and some of them are to be introduced in this paper. Knowledge extraction (of the system modelled) by means of visualisation of its behaviour for both regression and classification problems will be described. Two methods telling us how to derive feature ranking from inductive model conclude the paper." . "Knowledge Extraction from Inductive Models" . "[EF7CF63F351A]" . "1"^^ . . . . . "37 ; 44" . . . "Knowledge Extraction, Inductive Modelling, GMDH, GAME, Visualisation, Feature Ranking"@en . "Knowledge Extraction from Inductive Models"@en . . "\u0160norek, Miroslav" . "21230" . . . . "2005-07-11+02:00"^^ . "Kyjev" . "Knowledge Extraction from Inductive Models"@en . "Kyjev" . "RIV/68407700:21230/05:03115273" . "966-02-3734-0" . "8"^^ . . "RIV/68407700:21230/05:03115273!RIV06-MSM-21230___" . "Akademie v\u011Bd Ukrajiny, \u00FAstav kybernetiky V.M.Glu\u0161kova" . "Knowledge Extraction from Inductive Models" . . . "Z(MSM6840770012)" .