In data-integration systems, information sources often have various constraints such as “all houses stored at a source have a unique address.” These constraints are very usefu...
Bayesian network models are widely used for discriminative prediction tasks such as classification. Usually their parameters are determined using 'unsupervised' methods ...
Generalized belief propagation (GBP) has proven to be a promising technique for approximate inference tasks in AI and machine learning. However, the choice of a good set of cluste...
The 2-class transduction problem, as formulated by Vapnik [1], involves finding a separating hyperplane for a labelled data set that is also maximally distant from a given set of...
This paper presents a method for generating compact and effective constructive-solid-geometry (CSG) object representations from 2D bitmap representations. The method consists of t...
Sarah F. Frisken Gibson, Joe Marks, Danielle Feinb...