Abstract
Analogical modeling (AM) is a memory based model with a documented performance comparable to other types of memory based learning. Known algorithms implementing AM have a computationally complexity of O(2n). We formulate a representation theorem on analogical modeling which is used for implementing a range of approximations to AM with a complexity starting as low as O(n).
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© 2005 Springer-Verlag Berlin Heidelberg
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Johnsen, L.G., Johansson, C. (2005). Efficient Modeling of Analogy. In: Gelbukh, A. (eds) Computational Linguistics and Intelligent Text Processing. CICLing 2005. Lecture Notes in Computer Science, vol 3406. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30586-6_77
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DOI: https://doi.org/10.1007/978-3-540-30586-6_77
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-24523-0
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