no code implementations • 3 Jun 2014 • Hitoshi Koyano, Morihiro Hayashida, Tatsuya Akutsu
However, this non-one-to-one conversion involves a loss of information and makes it impossible to evaluate, using probability theory, the generalization error of a learning machine, considering that the given data to train and test the machine are strings generated according to probability laws.
