In recent years, a number of algorithms have been developed for learning the structure of Bayesian networks from data. In this paper we apply some of these algorithms to a realist...
Xiaofeng Wu, Peter J. F. Lucas, Susan Kerr, Roelf ...
This paper is concerned with “open kernel” geometric modelling systems. It uses industrial needs to identify requirements for the geometric objects of a proposed interface. Th...
Alan E. Middleditch, Chris Reade, Abel J. P. Gomes
This paper presents work conducted towards the development of an effective software engineering-based methodology for integrity control in the process of spreadsheet development. ...
Kamalasen Rajalingham, David Chadwick, Brian Knigh...
This paper provides a generalization of non-reducible descriptors by extending the concept of distance between patterns of di erent classes. Generalized non-reducible descriptors ...
In this paper we introduce a novel way of modeling distributions with a low latent dimensionality. Our method allows for a strict control of the properties of the mapping between ...