We propose an unbounded-depth, hierarchical, Bayesian nonparametric model for discrete sequence data. This model can be estimated from a single training sequence, yet shares stati...
Markov networks are extensively used to model complex sequential, spatial, and relational interactions in fields as diverse as image processing, natural language analysis, and bio...
Benjamin Taskar, Vassil Chatalbashev, Daphne Kolle...
A wide range of web service choreography constraints on the content and sequentiality of messages can be translated into Linear Temporal Logic (LTL). Although they can be statical...
Abstract. The many approaches which have been proposed in the literature for proving the correctness of unfold/fold program transformations, consist in associating suitable well-fo...
Alberto Pettorossi, Maurizio Proietti, Valerio Sen...
Abstract. We present a framework for the declarative diagnosis of nondeterministic timed concurrent constraint programs. We present a denotational semantics based on a (continuous)...
Moreno Falaschi, Carlos Olarte, Catuscia Palamides...