An important task in data analysis is the discovery of causal relationships between observed variables. For continuous-valued data, linear acyclic causal models are commonly used ...
Recently various techniques to improve the correlation model of feature vector elements in speech recognition systems have been proposed. Such techniques include semi-tied covaria...
This paper presents an interdisciplinary investigation of statistical information retrieval (IR) techniques for protein identification from tandem mass spectra, a challenging probl...
UPC’s implicit communication and fine-grain programming style make application performance modeling a challenging task. The correspondence between remote references and communi...
Modelling and analysing distributed and mobile software systems is a challenging task. PEPA nets—coloured stochastic Petri nets—are a recently introduced modelling formalism w...