Uenezi wa Matarajio (EP)
Uenezi wa Matarajio (EP) ni algorithmu ya kupitisha ujumbe kwa njia ya uhakika kwa ajili ya makadirio ya nyuma ya takwimu katika mifumo ya Bayesian, iliyoanzishwa na Thomas P. Minka katika UAI 2001. Inaboresha kwa mzunguko seti ya vipengele vya ndani vya makadirio — kila kimoja kimetolewa kutoka familia ya kielelezo — ili bidhaa yao ikaribie kwa karibu usambazaji wa nyuma wa kweli usio na uwezo, ikipata usahihi wa juu kuliko makadirio ya maana ya uwanja wa kutofautiana katika kazi nyingi za kujifunza mashine za uwezekano.
Soma mbinu kamili
Ingia kwa akaunti ya bure ili kusoma sehemu hii.
Method map
The neighbourhood of related methods — select a node to explore.
Vyanzo
- Minka, T. P. (2001). Expectation propagation for approximate Bayesian inference. In Proceedings of the Seventeenth Conference on Uncertainty in Artificial Intelligence (UAI-01), pp. 362–369. Morgan Kaufmann. link ↗
- Minka, T. P. (2001/2013). Expectation propagation for approximate Bayesian inference. arXiv:1301.2294 [cs.AI]. link ↗
- Bishop, C. M. (2006). Pattern Recognition and Machine Learning. Springer. (Chapter 10: Approximate Inference; Section 10.7 covers Expectation Propagation.) ISBN: 978-0387310732
Jinsi ya kunukuu ukurasa huu
ScholarGate. (2026, June 3). Expectation Propagation for Approximate Bayesian Inference. ScholarGate. https://scholargate.app/sw/bayesian/expectation-propagation
Which method?
Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.
- Tafsiri ya LaplaceMbinu za Bayes↔ compare
- Markov Chain Monte Carlo (MCMC)Mbinu za Bayes↔ compare
- Utoaji wa KigezoMbinu za Bayes↔ compare
Imerejelewa na
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