Abstract
Although classifiation is perhaps the oldest practical application of MML inference, the early algorithm was subject to weakly inconsistent estimation. The same problem is inherent in any MML inference which infers many discrete "nuisance" parameters. A solution has been found using a novel coding trick, which could be useful in many inductive inferences.
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© 1991 Springer-Verlag Berlin Heidelberg
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Wallace, C.S. (1991). Classification by minimum-message-length inference. In: Akl, S.G., Fiala, F., Koczkodaj, W.W. (eds) Advances in Computing and Information — ICCI '90. ICCI 1990. Lecture Notes in Computer Science, vol 468. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-53504-7_63
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DOI: https://doi.org/10.1007/3-540-53504-7_63
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