All Outputs (44)

Knowledge refinement for a formulation system. (1998)
Thesis
BOSWELL, R.A. 1998 Knowledge refinement for a formulation system. Robert Gordon University, PhD thesis. Hosted on OpenAIR [online]. Available from: https://doi.org/10.48526/rgu-wt-2807305

This thesis describes the application of the knowledge refinement tool KRUST to the design system TFS, whose task is tablet formulation for a major pharmaceutical company. KRUST has already been successfully applied to a variety of classificatory pro... Read More about Knowledge refinement for a formulation system..

Refinement complements verification and validation. (1996)
Journal Article
CRAW, S. 1996. Refinement complements verification and validation. International journal of human computer studies [online], 44(2), pages 245-256. Available from: https://doi.org/10.1006/ijhc.1996.0012

Knowledge based systems are being applied in ever increasing numbers. The development of knowledge acquisition tools has eased the Knowledge Acquisition Bottleneck. More recently there has been a demand for mechanisms to assure the quality of knowled... Read More about Refinement complements verification and validation..

Refinement in response to validation. (1995)
Journal Article
CRAW, S. and SLEEMAN, D. 1995. Refinement in response to validation. Expert systems with applications, 8(3), pages 343-349. Available from: https://doi.org/10.1016/0957-4174(94)E0025-P

Knowledge-based systems (KBSs) are being applied in ever increasing numbers. In parallel with the development of knowledge acquisition tools is the demand for mechanisms to assure their quality, particularly in safety critical applications. Quality a... Read More about Refinement in response to validation..

Consultant-2: pre- and post processing of machine learning applications. (1995)
Journal Article
SLEEMAN, D., RISSAKIS, M., CRAW, S., GRANER, N. and SHARMA, S., 1995. Consultant-2: pre- and post processing of machine learning applications. International journal of human computer studies [online], 43(1), pages 43-63. Available from: https://doi.org/10.1006/ijhc.1995.1035

The knowledge acquisition bottleneck in the development of large knowledge-based applications has not yet been resolved. One approach which has been advocated is the systematic use of Machine Learning (ML) techniques. However, ML technology poses dif... Read More about Consultant-2: pre- and post processing of machine learning applications..