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(2 n). 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). © Springer-Verlag Berlin Heidelberg 2005.
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CITATION STYLE
APA
Johnsen, L. G., & Johansson, C. (2005). Efficient modeling of analogy. In Lecture Notes in Computer Science (Vol. 3406, pp. 694–703). Springer Verlag. https://doi.org/10.1007/978-3-540-30586-6_77
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