Faculty Opinions recommendation of A hierarchical Bayesian model for learning nonlinear statistical regularities in nonstationary natural signals.
DC Element | Wert | Sprache |
---|---|---|
dc.contributor.author | König, Peter | |
dc.date.accessioned | 2023-07-11T11:28:48Z | - |
dc.date.available | 2023-07-11T11:28:48Z | - |
dc.date.issued | 2005 | |
dc.identifier.uri | http://osnascholar.ub.uni-osnabrueck.de/handle/unios/70595 | - |
dc.subject | Geography | |
dc.subject | Nonlinear system | |
dc.subject | Bayesian probability | |
dc.subject | Bayesian hierarchical modeling | |
dc.subject | Physics | |
dc.subject | Computer science | |
dc.subject | Archaeology | |
dc.subject | Bayesian statistics | |
dc.subject | Quantum mechanics | |
dc.subject | Machine learning | |
dc.subject | Natural (archaeology) | |
dc.subject | Bayesian inference | |
dc.subject | Artificial intelligence | |
dc.title | Faculty Opinions recommendation of A hierarchical Bayesian model for learning nonlinear statistical regularities in nonstationary natural signals. | |
dc.type | dataset | |
dc.identifier.doi | https://doi.org/10.3410/f.1024224.288708 | |
dc.identifier.external | https://openalex.org/W4235861481 | |
local.import.sourcefile | openalex_20230710.ris | |
local.rawaffiliation | null |