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This paper addresses the task of learning classifiers from streams of labelled data. In this case we can face the problem that the underlying concepts can change over time. The paper studies two mechanisms developed for dealing with changing concepts. Both are based on the time window idea. The first one forgets gradually, by assigning to the examples weight that gradually decreases over time. The second one uses a statistical test to detect changes in concept and then optimizes the size of the...
This paper presents a vision for the future of the e-books which
entails further development of technologies that will facilitate the creation
and use of a new generation of "smart" books: e-books that are evolving,
highly interactive, customisable, adaptable, intelligent, and furnished with
a rich set of collaborative authoring and reading support services. The
proposed set of tools will be integrated into an intelligent framework for collaborative book authoring and experiencing called SmartBook....
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