Approximate linear programming (ALP) offers a promising framework for solving large factored Markov decision processes (MDPs) with both discrete and continuous states. Successful ...
We study the prevalent problem when a test distribution differs from the training distribution. We consider a setting where our training set consists of a small number of sample d...
Ruslan Salakhutdinov, Sham M. Kakade, Dean P. Fost...
Abstract. A clustering method is presented which can be applied to semantically annotated resources in the context of ontological knowledge bases. This method can be used to discov...
Generic Haskell is a language extension of Haskell for polytypic programming. Constrained types are parametric algebraic types with at least one argument constrained by type-class...
A database programming language is a programming language extended with database operations. In this paper we extend a core functional language with explicitly labeled tuples and ...