Date of Award
Master of Science
Department of Electrical and Computer Engineering
Eugene Santos, PhD
This work develops tools and techniques to identify particular Bayesian Knowledge Base (BKB) incompletenesses, and to modify the existing knowledge-base (KB) structure to correct these problems. The methodology performs manually or automatically, informing the user of either problems causing the incompleteness, or of details resulting from the automatic knowledge-base correction. The proposed methodology is designed for integration with BVAL, to augment BVAL's validation techniques.
DTIC Accession Number
Lyle, Louise J., "A Test-Case Based Approach to Bayesian Knowledge Base Incompleteness Detection and Correction" (1996). Theses and Dissertations. 5874.