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5 papers · 2 filters
Induction and Uncertainty Management Techniques Applied to Veterinary Medical Diagnosis
M. Cecile, Mary McLeish, P. Pascoe +1
This paper discusses a project undertaken between the Departments of Computing Science, Statistics, and the College of Veterinary Medicine to design a medical diagnostic system. On…
Theory Refinement on Bayesian Networks
Wray L. Buntine
Theory refinement is the task of updating a domain theory in the light of new cases, to be done automatically or with some expert assistance. The problem of theory refinement under…
Some Properties of Plausible Reasoning
Wray L. Buntine
This paper presents a plausible reasoning system to illustrate some broad issues in knowledge representation: dualities between different reasoning forms, the difficulty of unifyin…
Chain Graphs for Learning
Wray L. Buntine
Chain graphs combine directed and undirected graphs and their underlying mathematics combines properties of the two. This paper gives a simplified definition of chain graphs based…
Efficient Enumeration of Instantiations in Bayesian Networks
Sampath Srinivas, Pandurang Nayak
Over the past several years Bayesian networks have been applied to a wide variety of problems. A central problem in applying Bayesian networks is that of finding one or more of the…