This paper addresses a major weakness of current technologies for the Semantic Web, namely the lack of a principled means to represent and reason about uncertainty. This not only h...
Paulo Cesar G. da Costa, Kathryn B. Laskey, Kennet...
We observed a general problem of sequential programs, which often results in design and programming errors in industrial software engineering projects, and propose a solution appr...
This paper provides a unifying axiomatic account of the interpretation of recursive types that incorporates both domain-theoretic and realizability models as concrete instances. O...
We present a new formal OO method, called FOX, which is a synergetic combination of the semi-formal Fusion method and the formal specification language Object-Z. To manage complex...
The naive Bayesian classifier provides a simple and effective approach to classifier learning, but its attribute independence assumption is often violated in the real world. A numb...