We propose a methodology that can be used to compare and evaluate Artificial Intelligence architectures and is motivated by fundamental properties required by general intelligent ...
1 In this paper, the segmentation problem is formulated as a problem of segmenting a Riemannian manifold. The image domain is endowed with an anisotropic metric and its segmentatio...
In probabilistics, reasoning at optimum entropy (ME-reasoning) has proved to be a most sound and consistent method for inference. This paper investigates its properties in the fram...
Higher-order narrowing is a general method for higher-order equational reasoning and serves for instance as the foundation for the integration of functional and logic programming. ...
We present sequential and parallel algorithms for various embedding problems on bounded degree partial k-trees and k-connected partial k-trees these include subgraph isomorphism a...