Глоссариум по искусственному интеллекту: 2500 терминов. Том 2

Batch size is usually fixed during training and inference; however, TensorFlow does permit dynamic batch sizes[136 - Batch size [Электронный ресурс] https://www.gabormelli.com URL: https://www.gabormelli.com/RKB/Batch_Size (дата обращения: 29.06.2023)],[137 - Batch size [Электронный ресурс] https://developers.google.com URL: https://developers.google.com/machine-learning/glossary#batch-size (дата обращения: 29.06.2023)].

Bayes’s Theorem is a famous theorem used by statisticians to describe the probability of an event based on prior knowledge of conditions that might be related to an occurrence[138 - Теорема Байеса [Электронный ресурс] https://habr.

com URL: https://habr.com/ru/articles/598979/ (дата обращения: 03.07.2023)].

Bayesian classifier in machine learning is a family of simple probabilistic classifiers based on the use of the Bayes theorem and the «naive» assumption of the independence of the features of the objects being classified[139 - Байесовский классификатор в машинном обучении [Электронный ресурс] https://wiki.

loginom.ru URL: https://wiki.loginom.ru/articles/bayesian_classifier.html (дата обращения: 07.07.2022)].

Bayesian Filter is a program using Bayesian logic. It is used to evaluate the header and content of email messages and determine whether or not it constitutes spam – unsolicited email or the electronic equivalent of hard copy bulk mail or junk mail. A Bayesian filter works with probabilities of specific words appearing in the header or content of an email.

Certain words indicate a high probability that the email is spam, such as Viagra and refinance[140 - Bayesian Filter [Электронный ресурс] https://certsrv.ru URL: http://certsrv.ru/eset_ss.ru/pages/bayes_filter.htm (дата обращения: 12.02.2022)].

Bayesian Network, also called Bayes Network, belief network, or probabilistic directed acyclic graphical model, is a probabilistic graphical model (a statistical model) that represents a set of variables and their conditional dependencies via a directed acyclic graph[141 - Bayesian Network [Электронный ресурс] https://dic.

academic.ru URL: https://dic.academic.ru/dic.nsf/ruwiki/1738444 (дата обращения: 31.01.2022)].

Bayesian optimization is a probabilistic regression model technique for optimizing computationally expensive objective functions by instead optimizing a surrogate that quantifies the uncertainty via a Bayesian learning technique.