The problem of choosing a good parameter setting for a better generalization performance in a learning task is the so-called model selection. A nested uniform design (UD) methodol...
Chien-Ming Huang, Yuh-Jye Lee, Dennis K. J. Lin, S...
el Predicate Abstraction and Refinement Techniques for Verifying RTL Verilog Himanshu Jain, Daniel Kroening, Natasha Sharygina, and Edmund M. Clarke, Fellow, IEEE As a first step, ...
Himanshu Jain, Daniel Kroening, Natasha Sharygina,...
We consider the problem of symbolic reachability analysis of higher-order context-free processes. These models are generalizations of the context-free processes (also called BPA pr...
Feature-Oriented Model-Driven Engineering (FOMDE) is an approach that lies at the intersection of two complementary paradigms for software construction, Model Driven Engineering (M...
Roberto E. Lopez-Herrejon, Alexander Egyed, Salvad...
This paper introduces the problem of modeling urban transportation systems in a database where certain aspects of the data are probabilistic in nature. The transportation network ...
Joel Booth, A. Prasad Sistla, Ouri Wolfson, Isabel...