Academic Journal
Probabilistic Knowledge Base Validation
| Title: | Probabilistic Knowledge Base Validation |
|---|---|
| Authors: | Gleason, Howard T. |
| Source: | Theses and Dissertations |
| Publisher Information: | AFIT Scholar |
| Publication Year: | 1995 |
| Collection: | AFTI Scholar (Air Force Institute of Technology) |
| Subject Terms: | Bayesian statistical decision theory, Expert systems (Computer science), Computer software--Validation, Computer Sciences |
| Description: | Our work develops a new methodology and tool for the validation of probabilistic knowledge bases throughout their lifecycle. The methodology minimizes user interaction by automatically modifying incorrect knowledge; only the occurrence of incomplete knowledge involves interaction. These gains are realized by combining and modifying techniques borrowed from rule-based and artificial neural network validation strategies. The presented methodology is demonstrated through BVAL, which is designed for a new knowledge representation, the Bayesian Knowledge Base. This knowledge representation accommodates incomplete knowledge while remaining firmly grounded in probability theory. |
| Document Type: | text |
| File Description: | application/pdf |
| Language: | unknown |
| Relation: | https://scholar.afit.edu/etd/6143; https://scholar.afit.edu/context/etd/article/7146/viewcontent/AFIT_GCS_ENG_95D_04_Gleason_H_ADA303824_Redacted.pdf |
| Availability: | https://scholar.afit.edu/etd/6143 https://scholar.afit.edu/context/etd/article/7146/viewcontent/AFIT_GCS_ENG_95D_04_Gleason_H_ADA303824_Redacted.pdf |
| Accession Number: | edsbas.D1B79768 |
| Database: | BASE |
| Description not available. |