zboží
(prázdné)
Part I: Machine Learning in Feature Selection.- Hybrid Feature Selection Method Based On The Genetic Algorithm And Pearson Correlation Coe cient.- Weighting Attributes and Decision Rules through Rankings and Discretisation Parameters.- Greedy Selection of Attributes to be Discretised.- Part II:...
číst celé
Part I: Machine Learning in Feature Selection.- Hybrid Feature Selection Method Based On The Genetic Algorithm And Pearson Correlation Coe cient.- Weighting Attributes and Decision Rules through Rankings and Discretisation Parameters.- Greedy Selection of Attributes to be Discretised.- Part II: Machine Learning in Classification and Ontology.- Machine learning for Enhancement Land Cover and Crop Types Classification.
schovat popis
- Nakladatel: Springer, Berlin
- Kód:
- Rok vydání: 2019
- Jazyk: Angličtina
- Vazba: Vázaná
- Počet stran: 630
- Šířka balení: 15.5 cm
- Výška balení: 23.5 cm
- Hloubka balení: 3.2 cm
- Váha balení: 887 g
Recenze