In real-world domains a concept to be learned may be unwieldy and the environment may be less than ideal. One combination of difficulties occurs if the concept is probabilistic an...
We consider the multi-class classification problem, based on vector observation sequences, where the conditional (given class observations) probability distributions for each class...
Abstract. Machine learning techniques are increasingly being applied to problems in the domain of information retrieval and text mining. In this paper we present an application of ...
Abstract--Limited preemption scheduling has been introduced as a viable alternative to non-preemptive and fullypreemptive scheduling when reduced blocking times need to coexist wit...
Marko Bertogna, Giorgio C. Buttazzo, Mauro Marinon...
Current projects that automate the collection of provenance information use a centralized architecture for managing the resulting metadata - that is, provenance is gathered at rem...