Computing marginal and conditional divergences between decomposable models with applications in quantum computing and earth observation
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
1 Online-Ressource.
- Language
-
Englisch
- Bibliographic citation
-
Computing marginal and conditional divergences between decomposable models with applications in quantum computing and earth observation ; volume:66 ; number:12 ; day:22 ; month:8 ; year:2024 ; pages:7527-7556 ; date:12.2024
Knowledge and information systems ; 66, Heft 12 (22.8.2024), 7527-7556, 12.2024
- Creator
-
Lee, Loong Kuan
Webb, Geoffrey I.
Schmidt, Daniel F.
Piatkowski, Nico
- Contributor
-
SpringerLink (Online service)
- DOI
-
10.1007/s10115-024-02191-7
- URN
-
urn:nbn:de:101:1-2501132123139.086997157712
- Rights
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
15.08.2025, 7:37 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Lee, Loong Kuan
- Webb, Geoffrey I.
- Schmidt, Daniel F.
- Piatkowski, Nico
- SpringerLink (Online service)
Other Objects (12)
Computing f‐divergences and distances of high‐dimensional probability density functions
Computing expectations and marginal likelihoods for permutations
A cautionary note on computing conditional from unconditional correlations
Methods for computing marginal data densities from the gibbs output
Ubiquitous computing - computing in context
DNA computing : new computing paradigms
Computing f-Divergences and Distances of High-Dimensional Probability Density Functions — Low-Rank Tensor Approximations —
Computing
Research Computing and Computing for Research
From Algorithmic Computing to Autonomic Computing
Advances in computing science - ASIAN 2002 : Internet computing and modeling, grid computing, peer to peer computing, and cluster computing ; proceedings
Computing the condensed conditional gametic QTL relationship matrix and its inverse
Computing f‐divergences and distances of high‐dimensional probability density functions
Computing expectations and marginal likelihoods for permutations
A cautionary note on computing conditional from unconditional correlations
Methods for computing marginal data densities from the gibbs output
Ubiquitous computing - computing in context
DNA computing : new computing paradigms
Computing f-Divergences and Distances of High-Dimensional Probability Density Functions — Low-Rank Tensor Approximations —
Computing
Research Computing and Computing for Research
From Algorithmic Computing to Autonomic Computing
Advances in computing science - ASIAN 2002 : Internet computing and modeling, grid computing, peer to peer computing, and cluster computing ; proceedings
Computing the condensed conditional gametic QTL relationship matrix and its inverse
Computing f‐divergences and distances of high‐dimensional probability density functions
Computing expectations and marginal likelihoods for permutations
A cautionary note on computing conditional from unconditional correlations
Methods for computing marginal data densities from the gibbs output
Ubiquitous computing - computing in context
DNA computing : new computing paradigms
Computing f-Divergences and Distances of High-Dimensional Probability Density Functions — Low-Rank Tensor Approximations —
Computing
Research Computing and Computing for Research
From Algorithmic Computing to Autonomic Computing
Advances in computing science - ASIAN 2002 : Internet computing and modeling, grid computing, peer to peer computing, and cluster computing ; proceedings