Using algorithmic information theory and stochastic modeling to improve classification and evolutionary computation: a dissertation submitted to the department of computer science of the Universidad Autonoma de Madrid in partial fulfillment of the requirements for the degree of doctor of philosophy
Author
Cebrián Ramos, ManuelAdvisor
Alfonseca, ManuelEntity
Universidad Autónoma de Madrid. Escuela Politécnica Superior; Universidad Autónoma de Madrid. Departamento de Ingeniería InformáticaDate
2007Subjects
Informática; Algoritmos - Tesis doctorales; Información, Teoría de la - Tesis doctorales; Procesos estocásticos - Tesis doctorales; Computación evolutiva - Tesis doctoralesNote
Tesis doctoral inédita. Universidad Autónoma de Madrid, Escuela Politécnica Superior, junio de 2007Files in this item
Google Scholar:Cebrián Ramos, Manuel
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