A Formal Analysis of Machine Learning Systems for Knowledge Acquisition
Machine learning techniques can be of great value for automating certain aspects of knowledge acquisition. Given the potential of machine learning for knowledge acquisition, we have begun a systematic investigation of how one might map the functions of knowledge-based systems onto those machine learning systems that provide the required knowledge. The goal of our current research is to provide a general characterization of machine learning systems and their respective application domains.
Shalin, V. L.,
Wisniewski, E. J.,
& Levi, K. R.
(1988). A Formal Analysis of Machine Learning Systems for Knowledge Acquisition. International Journal of Man-Machine Studies, 29 (4), 429-446.