Bayesian experimental design provides a general probability-theoretical framework from which other theories on experimental design can be derived. Itâ€¦Â (More)

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2015

2015

- Elizabeth G. Ryan, Christopher C. Drovandi, Anthony N. Pettitt
- Entropy
- 2015

Utility functions in Bayesian experimental design are usually based on the posterior distribution. When the posterior is found byâ€¦Â (More)

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2014

2014

Optimal experimental design (OED) seeks experiments expected to yield the most useful data for some purpose. In practicalâ€¦Â (More)

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2013

2013

- Xun Huan, Youssef M. Marzouk
- J. Comput. Physics
- 2013

The optimal selection of experimental conditions is essential to maximizing the value of data for inference and predictionâ€¦Â (More)

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2011

2011

- Philip Schniter
- 2011 4th IEEE International Workshop onâ€¦
- 2011

In this paper, we merge Bayesian experimental design with turbo approximate message passing (AMP) algorithms for the purpose ofâ€¦Â (More)

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Highly Cited

2008

Highly Cited

2008

- Matthias W. Seeger, Hannes Nickisch
- ICML
- 2008

We relate compressed sensing (CS) with Bayesian experimental design and provide a novel efficient approximate method for theâ€¦Â (More)

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2008

2008

We show how improved sequences for magnetic resonance imaging can be found through optimization of Bayesian design scoresâ€¦Â (More)

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2008

2008

- Roy Fischer
- 2008

The design of fusion diagnostics is essential for the physics program of future fusion devices. The goal is to maximize theâ€¦Â (More)

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Highly Cited

2001

Highly Cited

2001

- Bianca Zadrozny, Charles Elkan
- ICML
- 2001

Accurate, well-calibrated estimates of class membership probabilities are needed in many supervised learning applications, inâ€¦Â (More)

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Review

1995

Review

1995

Your use of the JSTOR archive indicates your acceptance of JSTOR's Terms and Conditions of Use, available at http://www.jstor.orgâ€¦Â (More)

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Highly Cited

1995

Highly Cited

1995

- George H. John, Pat Langley
- UAI
- 1995

When modeling a probability distribution with a Bayesian network, we are faced with the problem of how to handle continuous variâ€¦Â (More)

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