This paper presents a new approach for verifying confidenfor programs, based on abstract interpretation. The framework is formally developed and proved correct in the theorem prov...
Domain mismatch and schema mismatch are two of the important semantic integration problems for interoperating heterogeneous databases. This paper structures the domain mismatch pr...
Approximate linear programming (ALP) offers a promising framework for solving large factored Markov decision processes (MDPs) with both discrete and continuous states. Successful ...
In this paper we introduce a dynamic programming algorithm to perform linear text segmentation by global minimization of a segmentation cost function which consists of: (a) within...
Abstract Self-Modifying Cartesian Genetic Programming (SMCGP) is a general purpose, graph-based, developmental form of Genetic Programming founded on Cartesian Genetic Programming....