Kernel k-means and spectral clustering have both been used to identify clusters that are non-linearly separable in input space. Despite significant research, these methods have re...
In the spirit of Landin, we present a calculus of dependent types to serve as the semantic foundation for a family of languages called data description languages. Such languages, ...
This article presents a polymorphic modal type system and its principal type inference algorithm that conservatively extend ML by all of Lisp's staging constructs (the quasi-...
We introduce a new notion of bisimulation for showing contextual equivalence of expressions in an untyped lambda-calculus with an explicit store, and in which all expressed values...
Traditional class and object encodings are difficult to use in practical type-preserving compilers because of the complexity of the encodings. We propose a simple typed intermedia...