We argue that some of the computational complexity associated with estimation of stochastic attributevalue grammars can be reduced by training upon an informative subset of the fu...
Little research has been conducted to date on the specific topic of the tailoring of systems development methods. Two related research areas--contingency factors research and metho...
In companies a large amount of information is maintained that is accessible via network communication tools. This makes searching for a particular piece of information a di cult t...
Patrick Lambrix, Nahid Shahmehri, Niclas Wahll&oum...
In this paper we address the problem of discretization in the context of learning Bayesian networks (BNs) from data containing both continuous and discrete variables. We describe ...
This paper studies sorted generalization-the generalization, with respect to an arbitrary taxonomic theory, of atomic formulas containing sorted variables. It develops an algorith...