Мақаланы E-mail арқылы жіберу Probabilistic morphisms and Bayesian supervised learning
- Авторлар: Lê H.V.1,2
-
Мекемелер:
- Institute of Mathematics, Czech Academy of Sciences, Praha, Czech Republic
- Faculty of Mathematics and Physics, Charles University, Praha, Czech Republic
- Шығарылым: Том 216, № 5 (2025)
- Беттер: 161-180
- Бөлім: Articles
- URL: https://journal-vniispk.ru/0368-8666/article/view/306710
- DOI: https://doi.org/10.4213/sm10191
- ID: 306710
Дәйексөз келтіру
Ашық рұқсат
Рұқсат берілді
Тек жазылушылар үшін
Аннотация
We develop the category theory of Markov kernels to the study of categorical aspects of Bayesian inversions. As a result, we present a unified model for Bayesian supervised learning, including Bayesian density estimation. We illustrate this model with Gaussian process regressions.
Авторлар туралы
Hông Lê
Institute of Mathematics, Czech Academy of Sciences, Praha, Czech Republic; Faculty of Mathematics and Physics, Charles University, Praha, Czech Republic
Хат алмасуға жауапты Автор.
Email: hvle@math.cas.cz
Әдебиет тізімі
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