CHIP
发表于 2025-3-26 21:34:59
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
不理会
发表于 2025-3-27 03:23:27
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,
cataract
发表于 2025-3-27 06:35:35
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提名的名单
发表于 2025-3-27 11:01:34
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indicate
发表于 2025-3-27 16:21:41
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Foregery
发表于 2025-3-27 17:59:42
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.
Abrupt
发表于 2025-3-28 01:07:52
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.
TIA742
发表于 2025-3-28 02:05:31
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mortuary
发表于 2025-3-28 06:19:34
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.
Derogate
发表于 2025-3-28 12:26:10
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.