One of the main problems in probabilistic grammatical inference consists in inferring a stochastic language, i.e. a probability distribution, in some class of probabilistic models...
Collaborative Filtering (CF), the prevalent recommendation approach, has been successfully used to identify users that can be characterized as “similar” according to their logg...
Inference in constraint programming is usually based on the deductions generated by individual constraints which are then communicated to other constraints through domain filteri...
Tarik Hadzic, Eoin O'Mahony, Barry O'Sullivan, Mei...
— In many networked applications, independent caching agents cooperate by servicing each other’s miss streams, without revealing the operational details of the caching mechanis...
We present a computational framework designed to provide adaptive support aimed at triggering learning from problem-solving activities in the presence of worked-out examples. The k...