We explore the relationship between a natural notion of unsupervised learning studied by Kearns et al. (STOC '94), which we call here "learning to create" (LTC), an...
Abstract. The naive credal classifier (NCC) extends naive Bayes classifier (NBC) to imprecise probabilities to robustly deal with the specification of the prior; NCC models a state...
— Most state-based approaches to fault diagnosis of discrete-event systems require a complete and accurate model of the system to be diagnosed. In this paper, we address the prob...
Model programs are high-level behavioral specifications used for software testing and design analysis. Composition of model programs is a versatile technique that, at one end of t...
In this paper we describe an implicit user interface for smart environment control: We make our system guess how to assist the user(s) proactively. Our controller is based on two ...