Inspired by genetic programming (GP), we study iterative algorithms for non-computable tasks and compare them to naive models. This framework justifies many practical standard tri...
In this paper, we cast discriminative training problems into standard linear programming (LP) optimization. Besides being convex and having globally optimal solution(s), LP progra...
Much progress has been made in distributed computing in the areas of distribution structure, open computing, fault tolerance, and security. Yet, writing distributed applications r...
Seif Haridi, Peter Van Roy, Per Brand, Christian S...
In this paper we present an implementation of a constraint solving module, CLP(Flex), for dealing with unification in an equality theory for terms with flexible arity function symb...
1 Step-wise refinement (SWR) asserts that complex programs can be derived from simple programs by progressively adding features. The length of a program specification is the number...