What to measure next to improve decision making? On top-down task driven feature saliency

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What to measure next to improve decision making? On top-down task driven feature saliency
Authors: Lars Kai Hansen, Seliz G. Karadogan, L. Marchegiani
Citation: IEEE Symposium on Computational Intelligence, Cognitive Algorithms, Mind, and Brain (CCMB), 2011  : 81-87. 2011
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Publisher: IEEE, Piscataway, NJ, USA
Meeting: IEEE Symposium on Computational Intelligence, Cognitive Algorithms, Mind, and Brain 2011
Database(s): Google Scholar cites
DOI: 10.1109/CCMB.2011.5952120.
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What to measure next to improve decision making? On top-down task driven feature saliency reports on an investigation of a model for top-down attention regarding the task as selecting which new input values to acquire from a incomplete feature vector with missing values. The method uses an information theoretic approach implemented with a generative mixture model.

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