Background: Mocapy++ is a toolkit for parameter learning and inference in dynamic Bayesian networks (DBNs). It supports a wide range of DBN architectures and probability distribut...
Recent micro-architectural research has proposed various schemes to enhance processors with additional tags to track various properties of a program. Such a technique, which is us...
Haibo Chen, Liwei Yuan, Xi Wu, Binyu Zang, Bo Huan...
A large class of stochastic optimization problems can be modeled as minimizing an objective function f that depends on a choice of a vector x ∈ X, as well as on a random external...
Typed Assembly Languages (TALs) can be used to validate the safety of assembly-language programs. However, typing rules are usually trusted as axioms. In this paper, we show how to...
Gang Tan, Andrew W. Appel, Kedar N. Swadi, Dinghao...
Egon Börger Ambient Abstract State Machines with Applications 11:00 AM Manfred Broy Realizability of System Interface Specifications 11:30 AM Ofer Strichman Proving Equivalence be...