Abstract
This paper describes an approach to combining empirical and analytical learning using incremental version-space merging [Hirsh, 1989]. The basic idea is to use analytical learning to generalize training data before doing empirical learning. The combination operates like empirical learning given no knowledge, but can utilize knowledge when provided, and therefore exhibits behavior along aspectrum from knowledge-poor to knowledge-rich learning. When used in this way knowledge can be viewed as an explicit bias for learning.
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© 1990 Kluwer Academic Publishers
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Hirsh, H. (1990). Knowledge as Bias. In: Benjamin, D.P. (eds) Change of Representation and Inductive Bias. The Kluwer International Series in Engineering and Computer Science, vol 87. Springer, Boston, MA. https://doi.org/10.1007/978-1-4613-1523-0_12
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DOI: https://doi.org/10.1007/978-1-4613-1523-0_12
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4612-8817-6
Online ISBN: 978-1-4613-1523-0
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