Machine Learning Usefulness Relies on Accuracy and Self-Maintenance
暂无分享,去创建一个
[1] José Ranilla,et al. Self-Organizing Symbolic Learned Rules , 1997, IWANN.
[2] J. Ross Quinlan,et al. C4.5: Programs for Machine Learning , 1992 .
[3] David W. Aha,et al. A study of instance-based algorithms for supervised learning tasks: mathematical, empirical, and psychological evaluations , 1990 .
[4] Antonio Bahamonde Rionda,et al. El nivel de impureza de una regla de clasificación aprendida a partir de ejemplos , 1997 .
[5] Catherine Blake,et al. UCI Repository of machine learning databases , 1998 .
[6] Alberto García Álvarez,et al. Un sistema que adecua las reglas aprendidas a las críticas recibidas sobre sus actuaciones , 1997 .
[7] Joan Cabestany,et al. Biological and Artificial Computation: From Neuroscience to Technology , 1997, Lecture Notes in Computer Science.
[8] R. Fisher. THE USE OF MULTIPLE MEASUREMENTS IN TAXONOMIC PROBLEMS , 1936 .
[9] Simon Kasif,et al. A System for Induction of Oblique Decision Trees , 1994, J. Artif. Intell. Res..
[10] Antonio Bahamonde Rionda,et al. Segmentación de valores numéricos para el aprendizaje a partir de ejemplos , 1995 .