@conference {10.1007/978-3-319-91479-4_61,
	title = {Credal C4.5 with Refinement of~Parameters},
	booktitle = {Information Processing and Management of Uncertainty in Knowledge-Based Systems. Applications},
	year = {2018},
	pages = {739{\textendash}747},
	publisher = {Springer International Publishing},
	organization = {Springer International Publishing},
	address = {Cham},
	abstract = {Recently, a classification method called Credal C4.5 (CC4.5) has been presented which combines imprecise probabilities and the C4.5 algorithm. The action of the CC4.5 algorithm depends on a parameter s. In previous works, it has been shown that this parameter has relation with the degree of overfitting of the model. The noise level of a data set can influence on the choice of a good value for s. In this paper, it is presented a new method based on the CC4.5 method with a refining of its parameter in the time of training. The new method has an equivalent performance than CC4.5 with the best value of s for each level noise.},
	isbn = {978-3-319-91479-4},
	author = {Mantas, Carlos J. and Abell{\'a}n, Joaqu{\'\i}n and Castellano, Javier G. and J. R. Cano and Moral, Seraf{\'\i}n},
	editor = {Medina, Jes{\'u}s and Ojeda-Aciego, Manuel and Verdegay, Jos{\'e} Luis and Perfilieva, Irina and Bouchon-Meunier, Bernadette and Yager, Ronald R.}
}
