TY - JOUR A1 - Bueno Crespo, Andrés AU - Sancho Gómez, José Luis T1 - Aprendizaje multitarea en problemas con un número reducido de datos Y1 - 2005 UR - http://hdl.handle.net/10317/706 AB - MultiTask Learning (MTL) is a procedure to train a neural network to learn several related tasks simultaneously considering one of them as main task and the others as secondary tasks. In this paper, we have tested a method to obtain artificially tasks which are related with the main one, because in many real cases, knowledge about problem to be solved is uncertain. We use sample selection techniques to generate related tasks with the main one, in particular, samples close the classification boundary. Moreover, a new procedure to train MultiLayer Perceptrons with generated tasks is described. KW - Teoría de la Señal y las Comunicaciones KW - Aprendizaje multitarea KW - Red Neuronal Artificial (RNA) KW - Tarea artificial KW - Edición de datos KW - Learning multitasking KW - Artificial neural networks KW - Artificial task KW - Data editing LA - spa PB - Universidad Politécnica de Valencia ER -