Abstract. We describe and empirically evaluate machine learning methods for the prediction of zinc binding sites from protein sequences. We start by observing that a data set consi...
Sauro Menchetti, Andrea Passerini, Paolo Frasconi,...
Abstract. This paper proposes a diagnosis algorithm for locating a certain kind of errors in logic programs: variable binding errors that result act symptoms during compile-time ch...
Abstract. In informal mathematical usage we often reason using languages with binding. We usually find ourselves placing capture-avoidance constraints on where variables can and c...
We present a logical framework Υ for reasoning on a very general class of languages featuring binding operators, called nominal , presented in higher-order abstract syntax (HOAS)....
This paper is concerned with a programming language construct for typed name binding that enforces -equivalence. It proves a new result about what operations on names can co-exist...