Warianty tytułu
Języki publikacji
Abstrakty
Słowa kluczowe
Twórcy
autor
- Philipps University of Marburg, Germany ; School of Business and Economics, Marburg, Germany
Bibliografia
- Breiman L. (2001), Random forests. Machine Learning Journal, 45, pp. 5-32.
- Breiman L., Friedman J.H., Olshen R.A., Stone C.J. (1984), Classification and regression trees, Chapman & Hall/CRC, Boca Raton.
- Cortes C., Vapnik V.N. (1995), Support-vector networks, Machine Learning, 20, pp. 273- -297.
- Hamel L. (2009), Knowledge Discovery with Support Vector Machines. John Wiley & Sons, Hoboken.
- Jobson J.D. (1992), Applied Multivariate Data Analysis - Volume II: Categorical and Multivariate Methods, Springer, New York.
- Lantz B. (2015), Machine Learning with R. Packt Publishing, Birmingham.
- Moguerza J.M., Munoz A. (2006), Support vector machines with applications, Statistical Science, 21, pp. 322-336.
- Pathak M.A. (2014), Beginning Data Science with R. Springer, Cham.
Typ dokumentu
Bibliografia
Identyfikatory
Identyfikator YADDA
bwmeta1.element.ekon-element-000171638071