PhD viva preparation questions

Occasionally, a PhD research student preparingΒ for their viva will ask "how shouldΒ I prepare for my PhDΒ viva?" I recommend as many of the following as you can manage: Make your own expert and educated judgements -- to find theΒ weaker areas of your thesis and work. Have a PhD mock-viva -- to collectΒ intelligent non-specialistΒ viewpoints of your work, … Continue reading PhD viva preparation questions

RDA – Artificial Immune System (AIS) for Anomaly Detection

The Receptor Density Algorithm (RDA) is an Artificial Immune System (AIS) anomaly detection algorithm modelled upon how T-cell receptors respond to antigen, originally modelled by Owens et al in 2009. A recent small project has been to investigate its applicability as an AIS anomaly classifier for our CARDINAL-Vanilla AIS self-healing architecture. Github repoΒ | Version 0.1 implementation … Continue reading RDA – Artificial Immune System (AIS) for Anomaly Detection

Weka – RSARSubsetEval Attribute Selection Evaluator for Download

RSARSubsetEval is an "Attribute Selection Evaluator" algorithm (a term within Weka) that evaluates subsets of features. Evaluators for individual dataset attributes (columns/features) also exist, though naturally most data problems are defined by combinations of multiple factors (attributes), so they tend to be less applicable. RSARSubsetEval is more widely known as a Feature Selection algorithm, which … Continue reading Weka – RSARSubsetEval Attribute Selection Evaluator for Download