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Dynamic Unstructured Bargaining with Private Information: Theory, Experiment, and Outcome Prediction via Machine Learning

• Authors : Camerer, Colin F.; Nave, Gideon; Smith, Alec

Subjects: bargaining; dynamic games; private information

• Source: Management Science, 65(4), 1867-1890, (2019-04)

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A Perspective on Future Research Directions in Information Theory

• Authors : Andrews, Jeff; Dimakis, Alex; Dolecek, Lara

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On the Entropy Region of Discrete and Continuous Random Variables and Network Information Theory

• Authors : Shadbakht, Sormeh; Hassibi, Babak

• Source: 42nd Asilomar Conference on Signals, Systems and Computers, 2008, Pacific Grove, CA, 26-29 October 2008

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Entropy Vectors, Network Information Theory and Wireless Networks

• Authors : Hassibi, Babak

• Source: 5th International Symposium on Modeling and Optimization in Mobile, Ad Hoc and Wireless Networks and Workshops, 2007. WiOpt 2007, Limassol, Cyprus, April 16-20, 2007

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Generating Information-Rich High-Throughput Experimental Materials Genomes using Functional Clustering via Multitree Genetic Programming and Information Theory

• Authors : Suram, Santosh K.; Haber, Joel A.; Jin, Jian

• Source: ACS Combinatorial Science, 17(4), 224-233, (2015-04)

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Protein Signaling Networks from Single Cell Fluctuations and Information Theory Profiling

• Authors : Shin, Young Shik; Remacle, F.; Fan, Rong

• Source: Biophysical Journal, 100(10), 2378-2386, (2011-05-18)

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Quantum metrology from an information theory perspective

• Authors : Boixo, Sergio; Datta, Animesh; Davis, Matthew J.

Subjects: quantum metrology; nonlinear interferometry; Bose-Einstein condensate

• Source: Ninth International Conference on QCMC, Calgary (Canada), 19–24 August 2008

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Normalized Entropy Vectors, Network Information Theory and Convex Optimization

• Authors : Hassibi, Babak; Shadbakht, Sormeh;

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Information Theory and Noisy Computation

• Authors : Evans, William S.; Schulman, Leonard J.

• Source: 1995 IEEE International Symposium on Information Theory, Whistler, BC, Canada, Sept 17-22, 1995

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Texture Classification Using Information Theory

• Authors : Greenspan, Hayit K.; Goodman, Rodney M.

• Source: 1991 IEEE International Symposium on Information Theory, Budapest, Hungary, 24-28 June 1991

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