We introduce standardised building blocks designed to be used with variational Bayesian learning. The blocks include Gaussian variables, summation, multiplication, nonlinearity, a...
Tapani Raiko, Harri Valpola, Markus Harva, Juha Ka...
Abstract: This paper describes a Java-based framework for developing componentbased software systems supporting adaptation with logic laws and considering component interactions as...
Enrico Oliva, Antonio Natali, Alessandro Ricci, Mi...
This paper describes a Java-based framework for the development of componentbased software systems supporting the specification of the logic of component interactions as a first-c...
Antonio Natali, Enrico Oliva, Alessandro Ricci, Mi...
With rapid technological advances in network infrastructure, programming languages, compatible component interfaces and so many more areas, today the computational Grid has evolve...
This case study discusses two related aspects that are becoming increasingly important in today’s software development practice: re-engineering of a monolithic system into a com...