Abstract
This special issue is devoted to invited editorials and technical papers on knowledge acquisition. In the past, special issues have been devoted to recognized subfields of machine learning, where a subfield might be characterized by a particular method of machine learning, such as genetic algorithms. The relationship between machine learning and knowledge acquisition is not so clearcut as the field-subfield one. Neither are the methods of knowledge acquisition so homogeneous and easily characterized as for genetic algorithms.
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References
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© 1989 Kluwer Academic Publishers, Boston
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Marcus, S. (1989). Introduction: A Sampler in Knowledge Acquisition for the Machine Learning Community. In: Marcus, S. (eds) Knowledge Acquisition: Selected Research and Commentary. Machine Learning, vol 92. Springer, Boston, MA. https://doi.org/10.1007/978-1-4613-1531-5_1
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DOI: https://doi.org/10.1007/978-1-4613-1531-5_1
Publisher Name: Springer, Boston, MA
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Online ISBN: 978-1-4613-1531-5
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