Intrusion attempts due to self-propagating code are becoming an increasingly urgent problem, in part due to the homogeneous makeup of the internet. Recent advances in anomalybased...
Denver Dash, Branislav Kveton, John Mark Agosta, E...
Data visualization environments help users understand and analyze their data by permitting interactive browsing of graphical representations of the data. To further facilitate und...
We propose Action-Reaction Learning as an approach for analyzing and synthesizing human behaviour. This paradigm uncovers causal mappings between past and future events or between...
Probabilistic mixture models are used for a broad range of data analysis tasks such as clustering, classification, predictive modeling, etc. Due to their inherent probabilistic na...
The “small world”-paradigm offers a new interesting viewpoint for the analysis of contemporary legal networks and artificial intelligence. This topological approach sheds fu...