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Titlebook: Coding Ockham‘s Razor; Lloyd Allison Book 2018 Springer International Publishing AG, part of Springer Nature 2018 artificial intelligence.

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31#
發(fā)表于 2025-3-26 21:34:59 | 只看該作者
Bits and Pieces,s, hints and tricks that may help the reader to get started at putting MML into practice. “Probability theory is nothing but common sense reduced to calculation” (Laplace) but data analysis software is numerical software and the results of computations need to be checked with scepticism, common sens
32#
發(fā)表于 2025-3-27 03:23:27 | 只看該作者
An Implementation,of the MML mixture modelling program . (Wallace and Boulton, An information measure for classification. Comput J 11(2):185–194, 1968) was written in ALGOL-60 and later versions were written in FORTRAN and in C (Wallace, Statistical and inductive inference by minimum message length. Springer, Berlin,
33#
發(fā)表于 2025-3-27 06:35:35 | 只看該作者
34#
發(fā)表于 2025-3-27 11:01:34 | 只看該作者
35#
發(fā)表于 2025-3-27 16:21:41 | 只看該作者
36#
發(fā)表于 2025-3-27 17:59:42 | 只看該作者
https://doi.org/10.1007/978-94-017-9106-9is a mixture of two or more . (clusters, kinds, types, species, families, subpopulations), ., of data. Component submodel . is a model of hypothetical class . of data, and we sometimes use “class .,” or just “class .,” to refer to either the class, or the model . of that class, as determined by the context.
37#
發(fā)表于 2025-3-28 01:07:52 | 只看該作者
Mixture Models,is a mixture of two or more . (clusters, kinds, types, species, families, subpopulations), ., of data. Component submodel . is a model of hypothetical class . of data, and we sometimes use “class .,” or just “class .,” to refer to either the class, or the model . of that class, as determined by the context.
38#
發(fā)表于 2025-3-28 02:05:31 | 只看該作者
39#
發(fā)表于 2025-3-28 06:19:34 | 只看該作者
Function-Models,e, .?=?〈., .〉, but note that . and . can themselves be multivariate. For example, if . is conditional on .. and on .. we can say that it is dependent on the pair 〈.., ..〉. Just as we talk of data from a data-space, we also have input-data from an input-(data-)space and output-data from an output-(data-)space.
40#
發(fā)表于 2025-3-28 12:26:10 | 只看該作者
Graphs,ny kinds of data—finite-state automata (Gaines Int J Man-Mach Stud 8(3):337–365 (1976), Georgeff and Wallace. Eur Conf Artif Intell 84:473–482 (1984)), electronic circuits, road maps, social networks of “friends”, chemical compounds, and protein-protein interactions to name just a few.
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