In this paper we introduce an efficient implementation of asynchronously parallel genetic algorithm with adaptive genetic operators. The classic genetic algorithm paradigm is exte...
Inference is a key component in learning probabilistic models from partially observable data. When learning temporal models, each of the many inference phases requires a complete ...
This paper presents a framework called Parallel Experiment Planning (PEP) that is based on an abstraction of how experiments are performed in the domain of macromolecular crystall...
Vanathi Gopalakrishnan, Bruce G. Buchanan, John M....
In this paper we discuss how metaphors for supporting user interaction with multimedia databases can be automatically generated. The work presented is a further step in the develo...
Maria Francesca Costabile, Donato Malerba, Matthia...
To support multimedia applications in mobile environments, it will be necessary for applications to be aware of the underlying environmental conditions, and also to be able to ada...
Gordon S. Blair, Geoff Coulson, Anders Andersen, L...