Abstract. A class of probabilistic-logic models is considered, which increases the expressibility from HMM's and SCFG's regular and contextfree languages to, in principle...
Large-scale process fluctuations in nano-scale IC technologies suggest applying high-order (e.g., quadratic) response surface models to capture the circuit performance variations....
Xin Li, Jiayong Le, Lawrence T. Pileggi, Andrzej J...
Today, there exists a huge variety of business document models for electronic data exchange among business partners used in business-to-business, business-to-government, as well a...
Michael Strommer, Christian Pichler, Philipp Liegl
Sparse modeling is a powerful framework for data analysis and processing. Traditionally, encoding in this framework is performed by solving an 1-regularized linear regression prob...
Bounded Model Checking (BMC) is one of the most paradigmatic practical applications of Boolean Satisfiability (SAT). The utilization of SAT in model checking has allowed signifi...