In this paper we formulate the problem of grouping the states of a discrete Markov chain of arbitrary order simultaneously with deconvolving its transition probabilities. As the na...
Modeling adaptivity is a challenging task for two reasons: 1) adaptation is usually strongly interwoven with the general functionality of the web application, separation of concer...
Research in the field of knowledge discovery from temporal data recently focused on a new type of data: interval sequences. In contrast to event sequences interval sequences contai...
The processing power and memory capacity of independent and heterogeneous parallel machines can be combined to form a single parallel system that is more powerful than any of its ...
Daniel Becker, Felix Wolf, Wolfgang Frings, Markus...
Background: Information extraction (IE) efforts are widely acknowledged to be important in harnessing the rapid advance of biomedical knowledge, particularly in areas where import...
Lawrence Hunter, Zhiyong Lu, James Firby, William ...