We describe a novel framework for the design and analysis of online learning algorithms based on the notion of duality in constrained optimization. We cast a sub-family of universa...
Classifying the endgame positions in Chess can be challenging for humans and is known to be a difficult task in machine learning. An evolutionary algorithm would seem to be the ide...
The availability of technology has seen the development of online asynchronous discussion boards for use in teaching and learning. This paper explores the use of this medium withi...
In recent years, universities have adopted eLearning solutions as part of their learning resources to provide students with digital and multimedia content. The effect of this stra...
The classical theory of deterministic automata is presented in terms of the notions of homomorphism and bisimulation, which are the cornerstones of the theory of universal coalgebr...