—Structural learning with forgetting is an established method of using Laplace regularization to generate skeletal artificial neural networks. In this paper we develop a continu...
In this paper, a method to design regular (2, dc)-LDPC codes over GF(q) with both good waterfall and error floor properties is presented, based on the algebraic properties of thei...
Charly Poulliat, Marc P. C. Fossorier, David Decle...
The evolution of SAT technology over the last decade has motivated its application in model checking, initially through the utilization of SAT in bounded model checking (BMC) and, ...
Code model checking is a rapidly advancing research topic. However, apart from very constrained scenarios (e.g., verification of device drivers by Slam), the code model checking t...