Abstract
Chapters 3 through 5 have described how incremental version-space merging can be used to learn incrementally from a sequence of training instances. More generally, however, the information processed by incremental version-space merging need not correspond directly training data; as long as a piece of information can be converted into a version space of viable concept definitions it can be used by incremental version-space merging.
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© 1990 Kluwer Academic Publishers
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Hirsh, H. (1990). Incremental Batch Learning. In: Incremental Version-Space Merging: A General Framework for Concept Learning. The Kluwer International Series in Engineering and Computer Science, vol 104. Springer, Boston, MA. https://doi.org/10.1007/978-1-4613-1557-5_6
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DOI: https://doi.org/10.1007/978-1-4613-1557-5_6
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4612-8834-3
Online ISBN: 978-1-4613-1557-5
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