Based Automatic Abstraction for CTL Model Checking Woohyuk Lee Abelardo Pardo Jae-Young Jang Gary Hachtel Fabio Somenzi University of Colorado ECEN Campus Box 425 Boulder, CO, 8030...
Woohyuk Lee, Abelardo Pardo, Jae-Young Jang, Gary ...
A Bloom filter (BF) is a randomised data structure for set membership queries. Its space requirements are significantly below lossless information-theoretic lower bounds but it ...
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 ...
Clustering is a fundamental task in many vision applications. To date, most clustering algorithms work in a batch setting and training examples must be gathered in a large group b...
End-to-end latency of messages is an important design parameter that needs to be within specified bounds for the correct functioning of distributed real-time control systems. In t...
Swarup Mohalik, A. C. Rajeev, Manoj G. Dixit, S. R...