Abstract. We study the problem of applying statistical methods for approximate model checking of probabilistic systems against properties encoded as PCTL formulas. Such approximate...
Deep Belief Networks (DBN's) are generative models that contain many layers of hidden variables. Efficient greedy algorithms for learning and approximate inference have allow...
A component is the basic re-usable unit of composition to build composite systems by connecting to others through their provided and required ports. Checking the functional complia...
We describe a new procedure for verifying ACL2 properties about finite state machines (FSMs) using satisfiability (SAT) solving. We present an algorithm for converting ACL2 conj...
—This paper studies window flow control focusing on bridging the gap between microscopic factors such as burstiness in sub-RTT timescales, and observable macroscopic properties ...
Ao Tang, Lachlan L. H. Andrew, Krister Jacobsson, ...