The most basic assumption used in statistical learning theory is that training data and test data are drawn from the same underlying distribution. Unfortunately, in many applicati...
Abstract. Josephs and Udding’s DI-Algebra offers a convenient way of specifying and verifying designs that must rely upon delay-insensitive signalling between modules (asynchrono...
During testing, the execution of valid cases is only one part of the task. Checking the behavior in boundary situations and in the presence of errors is an equally important subje...
In this paper, we propose a class of incentive schemes based on intervention. We develop a general game-theoretic framework for the design of intervention schemes under imperfect m...
Deductive program synthesis systems based on automated theorem proving offer the promise of software that is correct by construction. However, the difficulty encountered in constru...