2012, ISBN: 9783642306037

[ED: Gebunden], [PU: Springer Berlin], Fuzzy classi¿ers are important tools in exploratory data analysis, which is a vital set of methods used in various engineering, scienti¿c and busine… Mehr…

[ED: Gebunden], [PU: Springer Berlin], Fuzzy classi¿ers are important tools in exploratory data analysis, which is a vital set of methods used in various engineering, scienti¿c and business applications. Fuzzy classi¿ers use fuzzy rules and do not require assumptions common to statistical classi¿cation. Rough set theory is useful when data sets are incomplete. It de¿nes a formal approximation of crisp sets by providing the lower and the upper approximation of the original set. Systems based on rough sets have natural ability to work on such data and incomplete vectors do not have to be preprocessed before classi¿cation. To achieve better performance than existing machine learning systems, fuzzy classifiers and rough sets can be combined in ensembles. Such ensembles consist of a ¿nite set of learning models, usually weak learners. The present book discusses the three aforementioned ¿elds - fuzzy systems, rough sets and ensemble techniques. As the trained ensemble should represent a single hypothesis, a lot of attention is..., DE, [SC: 0.00], Neuware, gewerbliches Angebot, 132, [GW: 389g], Banküberweisung, PayPal, Klarna-Sofortüberweisung<

2012, ISBN: 9783642306037

[ED: Gebunden], [PU: Springer Berlin], Fuzzy classi¿ers are important tools in exploratory data analysis, which is a vital set of methods used in various engineering, scienti¿c and busine… Mehr…

[ED: Gebunden], [PU: Springer Berlin], Fuzzy classi¿ers are important tools in exploratory data analysis, which is a vital set of methods used in various engineering, scienti¿c and business applications. Fuzzy classi¿ers use fuzzy rules and do not require assumptions common to statistical classi¿cation. Rough set theory is useful when data sets are incomplete. It de¿nes a formal approximation of crisp sets by providing the lower and the upper approximation of the original set. Systems based on rough sets have natural ability to work on such data and incomplete vectors do not have to be preprocessed before classi¿cation. To achieve better performance than existing machine learning systems, fuzzy classifiers and rough sets can be combined in ensembles. Such ensembles consist of a ¿nite set of learning models, usually weak learners. The present book discusses the three aforementioned ¿elds - fuzzy systems, rough sets and ensemble techniques. As the trained ensemble should represent a single hypothesis, a lot of attention is..., DE, [SC: 0.00], Neuware, gewerbliches Angebot, 132, [GW: 389g], Banküberweisung, PayPal, Klarna-Sofortüberweisung<

2012, ISBN: 9783642306037

[ED: Gebunden], [PU: Springer Berlin], Fuzzy classi¿ers are important tools in exploratory data analysis, which is a vital set of methods used in various engineering, scienti¿c and busine… Mehr…

[ED: Gebunden], [PU: Springer Berlin], Fuzzy classi¿ers are important tools in exploratory data analysis, which is a vital set of methods used in various engineering, scienti¿c and business applications. Fuzzy classi¿ers use fuzzy rules and do not require assumptions common to statistical classi¿cation. Rough set theory is useful when data sets are incomplete. It de¿nes a formal approximation of crisp sets by providing the lower and the upper approximation of the original set. Systems based on rough sets have natural ability to work on such data and incomplete vectors do not have to be preprocessed before classi¿cation. To achieve better performance than existing machine learning systems, fuzzy classifiers and rough sets can be combined in ensembles. Such ensembles consist of a ¿nite set of learning models, usually weak learners. The present book discusses the three aforementioned ¿elds - fuzzy systems, rough sets and ensemble techniques. As the trained ensemble should represent a single hypothesis, a lot of attention is..., DE, [SC: 0.00], Neuware, gewerbliches Angebot, 132, [GW: 389g], Banküberweisung, PayPal, Sofortüberweisung<

2012, ISBN: 3642306039

2012 Gebundene Ausgabe Modellieren (allgemein) - Modellierung, Mustererkennung, Computermodellierung und -simulation, Künstliche Intelligenz, Boosting; classifiers; decision making; Ens… Mehr…

2012 Gebundene Ausgabe Modellieren (allgemein) - Modellierung, Mustererkennung, Computermodellierung und -simulation, Künstliche Intelligenz, Boosting; classifiers; decision making; Ensemble Techniques; Fuzzy Systems; Mamdani Fuzzy Systems; Negative Correlation Learning; Neuro-Rough-Fuzzy Ensembles; pattern recognition; Takagi-Sugeno Fuzzy Systems, mit Schutzumschlag 11, [PU:Springer Berlin Heidelberg; Springer Berlin]<

2012, ISBN: 3642306039

2012 Gebundene Ausgabe Modellieren (allgemein) - Modellierung, Mustererkennung, Computermodellierung und -simulation, Künstliche Intelligenz, Boosting; classifiers; decisionmaking; Ense… Mehr…

2012 Gebundene Ausgabe Modellieren (allgemein) - Modellierung, Mustererkennung, Computermodellierung und -simulation, Künstliche Intelligenz, Boosting; classifiers; decisionmaking; EnsembleTechniques; fuzzysystems; MamdaniFuzzySystems; NegativeCorrelationLearning; Neuro-Rough-FuzzyEnsembles; patternrecognition; Takagi-Sugenofuzzysystems, mit Schutzumschlag 11, [PU:Springer Berlin Heidelberg; Springer Berlin]<