We introduce a new execution model for orchestrating the interaction between the conventional processor and the reconfigurable compute unit in adaptive computer systems. We then ...
This paper provides an algorithmic framework for learning statistical models involving directed spanning trees, or equivalently non-projective dependency structures. We show how p...
Terry Koo, Amir Globerson, Xavier Carreras, Michae...
We describe a hidden Markov modeling approach to multiple change-points that has attractive computational and statistical properties. This approach yields explicit recursive filter...
The proliferation of smart spaces and emergence of new standards, such as Web Services, have paved the way for a new breed of software systems. Often the complete functional and Qo...
In a catalogue for computer-based models the basic problem is that complex interdependencies between models must be addressed, which are dependent on an application's domain....