Now showing items 1-4 of 4
Refinement in response to validation.
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 ...
Refinement complements verification and validation
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 ...
Consultant-2: Pre- and post-processing of machine learning applications.
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. ...
Knowledge modelling for a generic refinement framework
Refinement tools assist with debugging the knowledge-based system (KBS), thus easing the well-known knowledge acquisition bottleneck, and the more recently recognised maintenance overhead. The existing refinement tools ...