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Decision Trees Using the Minimum Entropy-of-Error Principle.

, , , and . CAIP, volume 5702 of Lecture Notes in Computer Science, page 799-807. Springer, (2009)

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A Data Base Management System for an Obstetrics Department., , , , and . MIE, volume 45 of Lecture Notes in Medical Informatics, page 891-894. Springer, (1991)Neural network classification using Shannon's entropy., , and . ESANN, page 217-222. (2005)Improving transfer learning accuracy by reusing Stacked Denoising Autoencoders., , , , , and . SMC, page 1380-1387. IEEE, (2014)Statistical comparison of three analysis methods of fBm sequences., , and . ISSPA (1), page 565-567. IEEE, (2003)Neural Network Classification Using Error Entropy Minimization., , and . WIRN, page 291-297. Springer, (2004)Improving Deep Neural Network Performance by Reusing Features Trained with Transductive Transference., , , , and . ICANN, volume 8681 of Lecture Notes in Computer Science, page 265-272. Springer, (2014)The Influence of the Risk Functional in Data Classification with MLPs., , , and . ICANN (1), volume 5163 of Lecture Notes in Computer Science, page 185-194. Springer, (2008)New developments of the Z-EDM algorithm., , and . ISDA (1), page 1067-1072. IEEE Computer Society, (2006)Neural Network Classification: Maximizing Zero-Error Density., , and . ICAPR (1), volume 3686 of Lecture Notes in Computer Science, page 127-135. Springer, (2005)Error Entropy Minimization for LSTM Training., and . ICANN (1), volume 4131 of Lecture Notes in Computer Science, page 244-253. Springer, (2006)