This paper presents Fuzzy-UCS, a Michigan-style Learning Fuzzy-Classifier System designed for supervised learning tasks. Fuzzy-UCS combines the generalization capabilities of UCS...
Albert Orriols-Puig, Jorge Casillas, Ester Bernad&...
One of the most important challenges in supervised learning is how to evaluate the quality of the models evolved by different machine learning techniques. Up to now, we have relied...
: The research belonging to the Abstract State Machines approach to system design and analysis is surveyed and documented in an annotated ASM bibliography. The survey covers the pe...
In this article, we present the BioWall, a giant reconfigurable computing tissue developed to implement machines according to the principles of our Embryonics (embryonic electroni...
The appeal of persistent class-oriented programming languages is great. Allowing class definitions to be persistent, in addition to instance data, greatly increases the ease of ac...