Ideally, a model checking tool should successfully tackle state space explosion for complete system validation, while providing short counterexamples when an error exists. Techniqu...
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 ...
We propose "low cost response surface methods" (LCRSM) that typically require half the experimental runs of standard response surface methods based on central composite ...
Editing speech data is currently time-consuming and errorprone. Speech editors rely on acoustic waveform representations, which force users to repeatedly sample the underlying spe...
This research is based on the realization that the desktop computing paradigm is not appropriate for television, because it is adapted to fundamentally different user aspirations ...