no code implementations • 12 Mar 2023 • Kwabena Nuamah, Alan Bundy
Although alternative techniques in neural information retrieval embed the content of knowledge graphs in vector spaces, they fail to provide the representation and query expressivity needed (e. g. inability to handle non-trivial aggregation functions such as regression).
no code implementations • 6 Jun 2022 • Nick Ferguson, Liane Guillou, Kwabena Nuamah, Alan Bundy
Our two main conclusions are that cleaning of LC-QuAD 2. 0 is required as the errors present can affect evaluation; and that, due to limitations of FRANK's parser, paraphrase generation is not a method which we can rely on to improve the variety of natural language questions that FRANK can answer.
no code implementations • 20 Jan 2022 • Xue Li, Alan Bundy, Eugene Philalithis
Human beliefs change, but so do the concepts that underpin them.
1 code implementation • ICML Workshop AutoML 2021 • Thomas Fletcher, Alan Bundy, Kwabena Nuamah
Gaussian Processes (GPs) are a very flexible class of nonparametric models frequently used in supervised learning tasks because of their ability to fit data with very few assumptions, namely just the type of correlation (kernel) the data is expected to display.
no code implementations • 10 May 2015 • Daniel Raggi, Alan Bundy, Gudmund Grov, Alison Pease
We give a brief overview of a general theory of transformations that we consider appropriate for thinking about the matter, and we explain how it relates to the Transfer package.
no code implementations • 27 Mar 2013 • Alan Bundy
Mechanisms for the automation of uncertainty are required for expert systems.
no code implementations • 27 Mar 2013 • F. Correa da Silva, Alan Bundy
Incidence Calculus and Dempster-Shafer Theory of Evidence are both theories to describe agents' degrees of belief in propositions, thus being appropriate to represent uncertainty in reasoning systems.