Open source intelligence analysts routinely use the web as a source of information related to their specific taskings. Effective information gathering on the web, despite the prog...
Naive Bayes is one of the most efficient and effective inductive learning algorithms for machine learning and data mining. Its competitive performance in classification is surpris...
We introduce a system to address the challenges involved in managing the multidimensional sensor data streams generated within immersive environments. We call this data type, imme...
Using a distributed algorithm rather than a centralized one can be extremely beneficial in large search problems. In addition, the incorporation of machine learning techniques lik...
: In ubiquitous application scenarios, the information (processing) needs of nomadic users often cannot be satisfied by a set of pre-installed processes like in common workflow sys...
Klaus Haller, Michelle Ackermann, Claudio Munari, ...