We describe the underlying probabilistic generative signal model of non-negative matrix factorisation (NMF) and propose a realistic conjugate priors on the matrices to be estimate...
Tuomas Virtanen, Ali Taylan Cemgil, Simon J. Godsi...
When a lack of data inhibits decision making, large scale what-if queries can be conducted over the uncertain parameter ranges. Such what-if queries can generate an overwhelming a...
The Component Agent Framework for domain-Experts (CAFnE) toolkit is an extension to the Prometheus Design Tool (PDT). It uses the detailed design produced by PDT with further anno...
Gaya Buddhinath Jayatilleke, John Thangarajah, Lin...
The concept of Dynamic Neural Networks (DNN) is a new approach within the Neural Network paradigm, which is based on the dynamic construction of Neural Networks during the processi...
To realise variability at the code level, product line methods classically advocate usage of inheritance, components, frameworks, aspects or generative techniques. However, these ...
Quentin Boucher, Andreas Classen, Patrick Heymans,...