IEEE WiAd is an IEEE conference focused exclusively on wireless research, technology, and applications. It brings together thought leaders from industry, academia, government agencies and other institutions to exchange information and ideas on advancing the state-of-the-art in wireless communications and networking. In 2018, it is organised in the heart of the technological district of London.
In this talk, a novel data augmentation technique for regression problems will be presented. The technique generates synthetic data by perturbing the input and output features of existing training examples. Experiments using datasets from the context of software effort estimation are performed to (1) evaluate the effectiveness of the proposed technique and (2) to understand when and why it works well.
This talk will present some recent research being carried out within the LUCID group at Nottingham into type-2 for modelling human reasoning. It will cover approaches and methodologies which make more use of type-2 capabilities, illustrating these with reference to practical applications such as classification of breast cancer tumours, modelling expert variability, and other decision support problems.