Variational Bayesian Learning Theory - Shinichi Nakajima,Kazuho Watanabe,Masashi Sugiyama
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Piegāde 17-23 darba dienu laikā
30 dienu atgriešanas politika
Variational Bayesian learning is one of the most popular methods in machine learning. Designed for researchers and graduate students in machine learning, this book summarizes recent developments in the non-asymptotic and asymptotic theory of variational Bayesian learning and suggests how this theory can be applied in practice. The authors begin by developing a basic framework with a focus on conjugacy, whic ... Pilns apraksts
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Aprašymas
Vairāk informācijas
| Autors | Shinichi Nakajima, Kazuho Watanabe, Masashi Sugiyama |
|---|---|
| Izdevējs | Cambridge University Press |
| Izlaides gads | 2019 |
| Vāka tips | Cietais vāks |
| EAN | 9781107076150 |