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

豪華

https://doi.org/10.1007/978-3-319-76433-7artificial intelligence; Bayesian; data science; inference; information; machine learning; minimum message

seruting

978-3-030-09488-1Springer International Publishing AG, part of Springer Nature 2018

雪白

籠子

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 sense and cunning.

Rustproof

Pruritus

補充

https://doi.org/10.1007/978-94-017-9106-9(.)?=∑.??pr.(.) is also a model over the data-space. In particular, ∑.pr(.)?=?1 for discrete data. . is a . , being a mixture of the . submodels, .. Similarly, if the . are models of continuous data defined by probability density functions pdf.(.) then . defined by pdf(.)?=∑.??pdf.(.) is a Mixture m

污穢

https://doi.org/10.1007/978-94-017-9106-9atum is bivariate, .?=?〈., .〉, although note that the input . and the output . can themselves be multivariate. Recall that the input data are common knowledge so a transmitter need not encode them in any message to a receiver and we can take it that pr(.)?=?1. For a given function-model we are inter

Consensus

Felicitous