Miláčik čitateľov je práve vypredaný
Parametre
- 300 stránok
- 11 hodin čítania
Viac o knihe
Sure to be influential, Watanabe’s book lays the foundations for the use of algebraic geometry in statistical learning theory. Many models/machines are mixture models, neural networks, HMMs, Bayesian networks, stochastic context-free grammars are major examples. The theory achieved here underpins accurate estimation techniques in the presence of singularities.
Nákup knihy
Algebraic Geometry and Statistical Learning Theory, Sumio Watanabe
- Jazyk
- Rok vydania
- 2008
- Väzba
- (pevná)
Akonáhle sa objaví, pošleme e-mail.
Doručenie
Platobné metódy
Tu nám chýba tvoja recenzia
- Titul
- Algebraic Geometry and Statistical Learning Theory
- Jazyk
- anglicky
- Autori
- Sumio Watanabe
- Vydavateľ
- Cambridge University Press
- Rok vydania
- 2008
- Väzba
- pevná
- Počet strán
- 300
- ISBN10
- 0521864674
- ISBN13
- 9780521864671
- Štítky
- Učebnice, Veda, Odborná literatúra, Učebnice matematiky, Umelá inteligencia, Geometria, Strojové učenie
- Hodnotenie
- 4,45 z 5
- Anotácia
- Sure to be influential, Watanabe’s book lays the foundations for the use of algebraic geometry in statistical learning theory. Many models/machines are mixture models, neural networks, HMMs, Bayesian networks, stochastic context-free grammars are major examples. The theory achieved here underpins accurate estimation techniques in the presence of singularities.