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Discriminative Mixtures of Sparse Latent Fields for Risk Management Felix V. Agakov Pharmatics Ltd, Edinburgh, UK [removed]
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Document Date: 2012-04-26 12:49:45


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Edinburgh / /

Company

Risk Management Felix V. Agakov Pharmatics Ltd / RBS / SIAM Journal / Oxford Uni Press / Yahoo / London Stock Exchange / /

Continent

Europe / /

Country

Jordan / United Kingdom / /

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Facility

Stanford University / Amos Storkey University / University of Edinburgh / Peter Orchard University / /

IndustryTerm

real-world applications / possible networks / visible networks / coordinate descent algorithm / decision support applications / difficult-to-analyze combinatorial search / real-life applications / optimization algorithm / financial services / payment networks / important applications / primal proximal point algorithm / positivedefinite solution / combinatorial search / mining / finance / proteomic networks / financial applications / sparse network / coal-mining industry / /

MarketIndex

set/ftse 100 / /

NaturalFeature

Canary Islands / /

Organization

Centre for Population Health Sciences / University of Edinburgh / Stanford University / Bank of Finland / National Academy of Sciences / /

Person

STAN AAL ANTO BLT LMI / SAB ULVR BARC HSBA LLOY / Peter Orchard / Amos Storkey / Felix V. Agakov / Xj / H. Leinonen / Amos Storkey Non-Gaussian / /

Position

field model / editor / model / /

Product

Pentax K-x Digital Camera / /

PublishedMedium

Machine Learning / IEEE Transactions on Information Theory / Journal of Machine Learning Research / /

SportsLeague

Stanford University / /

Technology

artificial intelligence / gene expression / chemotherapy / machine learning / simulation / EM algorithm / optimization algorithm / primal proximal point algorithm / coordinate descent algorithm / /

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