Many existing clinical treatments are limited in their ability to completely restore decreased
or lost tissue and organ function, an unenviable situation only further exacerbated by a …

Early detection is the key to successfully tackling dementia, a neurocognitive condition
common among the elderly. Therefore, screening using technological platforms such as …

This paper introduces a general Bayesian framework for obtaining sparse solutions to
regression and classification tasks utilising models linear in the parameters. Although this …

The support vector machine (SVM) is a state-of-the-art technique for regression and
classification, combining excellent generalisation properties with a sparse kernel …

The'sparse Bayesian'modelling approach, as exemplified by the'relevance vector machine',
enables sparse classification and regression functions to be obtained by linearlyweighting a …

Background Dementia and cognitive impairment associated with aging are a major medical
and social concern. Neuropsychological testing is a key element in the diagnostic …

Exact determination of pressure-volume-temperature (PVT) properties of the reservoir oils is
necessary for reservoir calculations, reservoir performance prediction, and the design of …

This volume provides students, researchers and application developers with the knowledge
and tools to get the most out of using neural networks and related data modelling techniques …

Finding information hidden in data is as theoretically difficult as it is practically important.
With the objective of discovering unknown patterns from data, the methodologies of data …

In the last few years, the support vector machine (SVM) method has motivated new interest
in kernel regression techniques. Although the SVM has been shown to exhibit excellent …