We apply a well-known Bayesian probabilistic model to textual information retrieval: the classification of documents based on their relevance to a query. This model was previously...
This paper proposes a Probability weighted ARX (PrARX) model wherein the multiple ARX models are composed by the probabilistic weighting functions. As the probabilistic weighting f...
Embedded systems are used for critical applications that must adhere to safety constraints. Developers of these systems face three key challenges when attempting to apply existing...
Many developers who could benefit from building and analysing formal models of their systems are deterred from doing so by the process algebra style input languages of formal mode...
Peter Henderson, Robert John Walters, Stephen Crou...
Matrix factorization algorithms are frequently used in the machine learning community to find low dimensional representations of data. We introduce a novel generative Bayesian pro...