The relation between aspects and monads is a recurring topic in discussions in the programming language community, although it has never been elaborated whether their resemblences...
Abstract. The Bayesian approach to machine learning amounts to inferring posterior distributions of random variables from a probabilistic model of how the variables are related (th...
Abstract. This paper presents GMeta: a generic framework for firstorder representations of variable binding that provides once and for all many of the so-called infrastructure lem...
Gyesik Lee, Bruno C. D. S. Oliveira, Sungkeun Cho,...
We introduce a logic programming framework for data type transformations based on isomorphisms between elementary data types (natural numbers, finite functions, sets and permutat...
We propose a series of type systems for the information-flow security of assembly code. These systems extend previous work TALC with some timing annotations and associated judgment...