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Convergence is determined based on improvement to the model likelihood (), where denotes the parameters of the naive Bayes model. This training algorithm is an instance of the more general expectation–maximization algorithm (EM): the prediction step inside the loop is the E -step of EM, while the re-training of naive Bayes is the M -step.
Thus the scale and approximate prototype gauge are represented, with the model gauge used (9 mm for H0e gauge; 6.5 mm for H0f gauge) being implied. [ 2 ] The scales used include the general European modelling range of Z, N, TT, H0, 0 and also the large model engineering gauges of I to X, including 3 + 1 ⁄ 2 , 5, 7 + 1 ⁄ 4 and 10 + 1 ⁄ 4 ...
Analogously, a classifier based on a generative model is a generative classifier, while a classifier based on a discriminative model is a discriminative classifier, though this term also refers to classifiers that are not based on a model. Standard examples of each, all of which are linear classifiers, are: generative classifiers:
A physical model (most commonly referred to simply as a model but in this context distinguished from a conceptual model) is a smaller or larger physical representation of an object, person or system. The object being modelled may be small (e.g., an atom ) or large (e.g., the Solar System ) or life-size (e.g., a fashion model displaying clothes ...
The Google Brain project was established in 2011 in the "secretive Google X research lab" [12] by Google Fellow Jeff Dean, Google Researcher Greg Corrado, and Stanford University Computer Science professor Andrew Ng. [13] [14] [15] Ng's work has led to some of the biggest breakthroughs at Google and Stanford. [12]
The NMRA published alternative, more accurate and realistic standards for track and wheels sheet in S-1.1 These model railway standards are based on the full size prototype standards and the scale model operational reliability is therefore reduced in comparison to the models conforming to the normal NMRA standards.
[18]: 1165 Examples of this include the octacyanomolybdate (Mo(CN) 4− 8) and octafluorozirconate (ZrF 4− 8) anions. [18]: 1165 The nonahydridorhenate ion (ReH 2− 9) in potassium nonahydridorhenate is a rare example of a compound with a steric number of 9, which has a tricapped trigonal prismatic geometry. [13]: 254 [18]
Example of a Generic data model. [9] Generic data models are generalizations of conventional data models. They define standardized general relation types, together with the kinds of things that may be related by such a relation type. The definition of generic data model is similar to the definition of a natural language.