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  Bayesian Experimental Design of MRI Sequences

Seeger, M., Nickisch, H., Pohmann, R., & Schölkopf, B. (2008). Bayesian Experimental Design of MRI Sequences. Talk presented at Workshop on Machine Learning: Approaches to Representational Learning and Recognition in Vision. Frankfurt a.M., Germany. 2008-11-28.

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Item Permalink: http://hdl.handle.net/21.11116/0000-0003-A120-2 Version Permalink: http://hdl.handle.net/21.11116/0000-0006-C2ED-4
Genre: Talk

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 Creators:
Seeger, M1, 2, Author              
Nickisch, H1, 2, Author              
Pohmann, R2, 3, Author              
Schölkopf, B1, 2, Author              
Affiliations:
1Department Empirical Inference, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497795              
2Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497794              
3Former Department MRZ, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_2528700              

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 Dates: 2008-10
 Publication Status: Published online
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: -
 Degree: -

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Title: Workshop on Machine Learning: Approaches to Representational Learning and Recognition in Vision
Place of Event: Frankfurt a.M., Germany
Start-/End Date: 2008-11-28
Invited: Yes

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