@inproceedings{420,
  author = {José Ramón Cano De Amo and Salvador García López},
  editor = {Francisco Juez and José Villar and Enrique de la Cal and álvaro Herrero and Héctor Quintián and José Sáez and Emilio Corchado},
  title = {A First Attempt on Monotonic Training Set Selection},
  abstract = {Monotonicity constraints frequently appear in real-life problems. Many of the monotonic classifiers used in these cases require that the input data satisfy the monotonicity restrictions. This contribution proposes the use of training set selection to choose the most representative instances which improves the monotonic classifiers performance, fulfilling the monotonic constraints. We have developed an experiment on 30 data sets in order to demonstrate the benefits of our proposal.},
  year = {2018},
  pages = {277-288},
  publisher = {Springer International Publishing},
  address = {Cham},
  isbn = {978-3-319-92639-1},
}