We propose a new biological framework, spatial networks of hybrid input/output automata (SNHIOA), for the efficient modeling and simulation of excitable-cell tissue. Within this f...
Ezio Bartocci, Flavio Corradini, Maria Rita Di Ber...
We study the notion of learning in an oblivious changing environment. Existing online learning algorithms which minimize regret are shown to converge to the average of all locally...
This paper presents a new study on a method of designing a multi-class classifier: Data-driven Error Correcting Output Coding (DECOC). DECOC is based on the principle of Error Cor...
We present a Language Prototyping System that facilitates the modular development of interpreters from independent semantic buildks. The abstract syntax is modelled as the fixpoint...
In recent years there has been a growing interest in empirically investigating object-oriented technology (OOT). Much of this empirical work has been experimental in nature. This ...
Ignatios S. Deligiannis, Martin J. Shepperd, Steve...