Find out more about undergraduate study at the School of Electronic Engineering and Computer Science.

Because the primary pedagogical goal of this tutorial paper is to illustrate the regularizing impact of prior distributions, we did not adopt a dichotomous decision rule for hypothesis testing (e.g., ...

A total of 35 trials were ultimately included for Bayesian reanalysis, which used Bayes factors (BF₁₀) to evaluate the primary outcomes. Sensitivity analyses were performed to confirm the robustness ...

Probabilistic models, such as hidden Markov models or Bayesian networks, are commonly used to model biological data. Much of their popularity can be attributed to the existence of efficient and robust ...

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This course is designed for Ph.D. students whose primary field of study is machine learning, or who intend to make machine learning methodological research a main focus of their thesis. It will give ...

A Tutorial on Bayesian Optimization of Expensive Cost Functions, with Application to Active User Modeling and Hierarchical Reinforcement Learning - 12th Dec 2016 (bayopt).pdf A Versatile Graph ...

The project automatically fetches the latest papers from arXiv based on keywords. The subheadings in the README file represent the search keywords. Only the most recent articles for each keyword are ...

Healthcare decisions should be based on all relevant evidence.1 Usually, this is provided by randomised controlled trials (RCTs) comparing two or more interventions for a condition affecting a target ...