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J. Berger, Statistical Decision Theory and Bayesian Analysis. New York: Springer-Verlag, 1985.

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List-Mode Likelihood: EM Algorithm and Image - Quality Estimation Demonstrated   (Correct)

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J. Berger, Statistical Decision Theory and Bayesian Analysis. New York: Springer-Verlag, 1985.


Artificial Intelligence and Rational Self-Government - Doyle (1988)   (14 citations)  (Correct)

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Berger, J. O., 1985. Statistical Decision Theory and Bayesian Analysis (second edition), New York: Springer-Verlag.


A Survey of Maneuvering Target Tracking - Part IV.. - Li, Jilkov (2002)   (Correct)

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J. O. Berger. Statistical Decision Theory and Bayesian Analysis. Springer-Verlag, Mew York, 1985.


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Berger, J. 1985.Statistical Decision Theory and Bayesian Analysis. Springer-Verlag, New York.


Hierarchical Bayesian Super Resolution Reconstruction Of - Multispectral Images Rafael   (Correct)

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J. O. Berger. Statistical Decision Theory and Bayesian Analysis, chapter 3 and 4. New York, Springer Verlag, 1985.


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Berger, J.: 1985, Statistical Decision Theory and Bayesian Analysis. New York: Springer-Verlag.


Learning Low-Level Vision - Freeman, Pasztor, Carmichael (2000)   (61 citations)  (Correct)

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Berger, J. O.: 1985, Statistical decision theory and Bayesian analysis. Springer.


Markov Networks For Low-Level Vision - Freeman, Pasztor (1999)   (2 citations)  (Correct)

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#6# J. O. Berger. Statistical decision theory and Bayesian analysis. Springer, 1985. #7# C. M. Bishop. Neural networks for pattern recognition.


Markov Networks For Low-Level Vision - Freeman, Pasztor (1999)   (2 citations)  (Correct)

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#6# J. O. Berger. Statistical decision theory and Bayesian analysis. Springer, 1985. #7# C. M. Bishop. Neural networks for pattern recognition.


Markov Networks For Low-Level Vision - Freeman, Pasztor (1999)   (2 citations)  (Correct)

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#6# J. O. Berger. Statistical decision theory and Bayesian analysis. Springer, 1985. #7# C. M. Bishop. Neural networks for pattern recognition.


Markov Networks For Low-Level Vision - Freeman, Pasztor (1999)   (2 citations)  (Correct)

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#6# J. O. Berger. Statistical decision theory and Bayesian analysis. Springer, 1985. #7# C. M. Bishop. Neural networks for pattern recognition.


Markov Networks For Low-Level Vision - Freeman, Pasztor (1999)   (2 citations)  (Correct)

No context found.

#6# J. O. Berger. Statistical decision theory and Bayesian analysis. Springer, 1985. #7# C. M. Bishop. Neural networks for pattern recognition.


Markov Networks For Low-Level Vision - Freeman, Pasztor (1999)   (2 citations)  (Correct)

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#6# J. O. Berger. Statistical decision theory and Bayesian analysis. Springer, 1985. #7# C. M. Bishop. Neural networks for pattern recognition. Oxford, 1995. #a# Full resolution #b# Sub-sampled #c# After blurring #d# Estimated full res.


Markov Networks For Low-Level Vision - Freeman, Pasztor (1999)   (2 citations)  (Correct)

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#6# J. O. Berger. Statistical decision theory and Bayesian analysis. Springer, 1985. #7# C. M. Bishop. Neural networks for pattern recognition. Oxford, 1995. #a# Full resolution #b# Sub-sampled #c# After blurring #d# Estimated full res.


Markov Networks For Low-Level Vision - Freeman, Pasztor (1999)   (2 citations)  (Correct)

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#6# J. O. Berger. Statistical decision theory and Bayesian analysis. Springer, 1985. #7# C. M. Bishop. Neural networks for pattern recognition. Oxford, 1995. #a# Full resolution #b# Sub-sampled #c# After blurring #d# Estimated full res.


Decision Support Through Subgroup Discovery: - Three Case Studies   (Correct)

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Berger, J. (1985). Statistical Decision Theory and Bayesian Analysis. Springer-Verlag.


Bayesian Decision Theory, the Maximum Local Mass.. - Freeman Brainard.. (1994)   (7 citations)  (Correct)

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J. O. Berger. Statistical decision theory and Bayesian analysis. Springer, 1985.


Dense 3-D Structure from Image Sequences - Using Probabilistic Depth   (Correct)

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J.O Berger. Statistical Decision Theory and Bayesian Analysis. Springer, New York, 1985.


Mitsubishi Electric Research Laboratories - Cambridge Research Center   (Correct)

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J. O. Berger. Statistical decision theory and Bayesian analysis. Springer, 1985. 29


Bayesian Multioutput Feedforward Neural Network Comparison: A.. - Rossi, Vila   (Correct)

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J.O. Berger, Statistical Decision Theory and Bayesian Analysis. New york: Springer, 1985.


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J. Berger, Statistical Decision Theory and Bayesian Analysis (2nd edition). Springer, 1985.


Risk Minimization and Language Modeling in Text Retrieval - Thesis .. - Zhai (2002)   (1 citation)  (Correct)

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Berger, J. (1985). Statistical decision theory and Bayesian analysis. Springer-Verlap.


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James O Berger. Statistical Decision Theory and Bayesian Analysis. Springer-Verlag, 1985.


On Some Communication Schemes for Distributed.. - Speranzon, Johansson   (Correct)

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Robust Bayesianism: Imprecise and Paradoxical Reasoning - Arnborg (2004)   (Correct)

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J. O. Berger. Statistical decision Theory and Bayesian Analysis. Springer-Verlag, 1985.


Flexibility and Efficiency Enhancements for Constrained Global.. - Sasena (2002)   (Correct)

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J.O. Berger. Statistical Decisions Theory and Bayesian Analysis. Springer Series in Statistics. Springer, New York, second edition, 1985. 214


Multi-Stage Information Acquisition in Auction Design - Kyna Fong To (2003)   (1 citation)  (Correct)

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J. Berger, Statistical decision theory and bayesian analysis, 2 ed., Springer-Verlag, 1985.


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J. O. Berger. Statistical Decision Theory and Bayesian Analysis. Springer-Verlag, 1985.


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J.O. Berger. Statistical Decision Theory and Bayesian analysis. Springer-Verlag, 1993.


Expected Error Analysis for Model Selection - Scheffer, Joachims (1999)   (8 citations)  (Correct)

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J. Berger. Statistical Decision Theory and Bayesian Analysis. Springer-Verlag, 1985.


A Robust Reputation System for P2P and Mobile Ad-hoc Networks - Buchegger, Le Boudec (2004)   (2 citations)  (Correct)

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James O. Berger. Statistical Decision Theory and Bayesian Analysis. Springer, second edition edition, 1985.


Communication in General Decentralized Filters and the.. - Bourgault, Durrant-Whyte   (Correct)

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J.O. Berger. Statistical decision theory and Bayesian analysis. Springer series in statistics. Springer-Verlag, New York, 2nd edition, 1985.


Information-Theoretic Control of Multiple Sensor Platforms - Grocholsky (2002)   (1 citation)  (Correct)

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J. Berger. Statistical decision theory and Bayesian analysis. Springer-Verlag, 1985.


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On the Suboptimality of the Generalized Bayes Rule and Robust.. - Augustin (2003)   (1 citation)  (Correct)

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Berger, J.O. (1984): Statistical Decision Theory and Bayesian Analysis. (2nd edition). Springer. New York.


Adaptive BCI based on variational Bayesian Kalman.. - Sykacek, Roberts, Stokes   (Correct)

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J. O. Berger. Statistical Decision Theory and Bayesian Analysis. Springer, New York, 1985. 99] N. Birbaumer, N. Ghanayim, T. Hinterberger, I. Iversen, B. Kotchoubey, A. Kubler, J. Perelmouter, E. Taub, and H. Flor. A spelling device for the paralysed. Nature, 398:297-298, 1999.


P-EDR: An Algorithm for Parallel Implementation of Parzen.. - de Teruel, al.   (Correct)

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Optimal Time-Adaptive Repeated Significance Tests - Leifer, Slud (2002)   (Correct)

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J. O. Berger, Statistical Decision Theory and Bayesian Analysis.New York: Springer-Verlag, 1985.


A Robust Reputation System for Mobile Ad-hoc Networks - Buchegger, Le Boudec (2003)   (4 citations)  (Correct)

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James O. Berger. Statistical Decision Theory and Bayesian Analysis. Springer, second edition edition, 1985.


A Robust Reputation System for Mobile Ad-hoc Networks - Buchegger, Le Boudec (2003)   (4 citations)  (Correct)

No context found.

James O. Berger. Statistical Decision Theory and Bayesian Analysis. Springer, second edition edition, 1985.


Robust Bayesianism: Imprecise and Paradoxical Reasoning - Arnborg   (Correct)

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J. O. Berger. Statistical decision Theory and Bayesian Analysis. Springer-Verlag, 1985.


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J. O. Berger. Statistical decision theory and Bayesian analysis. Springer, 1985. 29


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Berger, J.O. (1975). Statistical decision theory and Bayesian analysis. 2nd edition, Springer-Verlag. New York.


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James O. Berger. Statistical Decision Theory and Bayesian Analysis. Springer, 1985.

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