In this paper we present VOCUS: a robust computational attention system for goal-directed search. A standard bottom-up architecture is extended by a top-down component, enabling th...
Abstract. This research proposes an adaptive mechanism of information visualizing that responds to context changes in knowledge-intensive work. A framework of Context-Sensitive Vis...
Generic classes can be used to improve performance by allowing compile-time polymorphism. But the applicability of compile-time polymorphism is narrower than that of runtime polym...
Dan Tsafrir, Robert W. Wisniewski, David F. Bacon,...
We consider type systems that combine universal types, recursive types, and object types. We study type inference in these systems under a rank restriction, following Leivant'...
Approximate Bayesian Gaussian process (GP) classification techniques are powerful nonparametric learning methods, similar in appearance and performance to support vector machines....