Robust Bayesian inference is the calculation of posterior probability bounds given perturbations in a probabilistic model. This paper focuses on perturbations that can be expresse...
Abstract. The work of Voas and colleagues has introduced, refined and applied the propagation, infection and execution (PIE) analysis technique for measuring testability of program...
Zuhoor A. Al-Khanjari, Martin R. Woodward, Haider ...
This paper presents a new approach for verifying confidenfor programs, based on abstract interpretation. The framework is formally developed and proved correct in the theorem prov...
Domain mismatch and schema mismatch are two of the important semantic integration problems for interoperating heterogeneous databases. This paper structures the domain mismatch pr...
Approximate linear programming (ALP) offers a promising framework for solving large factored Markov decision processes (MDPs) with both discrete and continuous states. Successful ...