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M. H. DeGroot. Optimal Statistical Decisions. McGraw Hill, New York, NY, 1970.

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Robot Motion Planning: A Game-Theoretic Foundation - Steven Lavalle Department (1996)   (Correct)

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M. H. DeGroot. Optimal Statistical Decisions. McGraw Hill, New York, NY, 1970.


Algorithms for Planning under Uncertainty in Prediction .. - O'Kane, Tovar, Cheng.. (2005)   (Correct)

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M. H. DeGroot. Optimal Statistical Decisions. McGraw Hill, New York, NY, 1970.


Software Reliability as a Function of User Execution Patterns - Munson, Elbaum (1999)   (3 citations)  (Correct)

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M. H. DeGroot, Optimal Statistical Decisions, McGrawHill Book Company, New York, 1970.


Should the Average Tax Rate Be Marginalized? - Naomi Feldman And   (Correct)

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DeGroot, Morris, Optimal Statistical Decisions, McGraw-Hill, 1970.


Covariant Policy Search - Andrew Bagnell And (2003)   (Correct)

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M. DeGroot. Optimal Statistical Decisions. McGraw-Hill, 1970.


On the Accuracy of Stochastic Complexity Approximations - Kontkanen, Myllymäki.. (1999)   (Correct)

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M.H. DeGroot. Optimal statistical decisions. McGraw-Hill, 1970.


On Predictive Distributions and Bayesian Networks - Kontkanen, Myllymäki.. (1998)   (1 citation)  (Correct)

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DeGroot, M.: 1970, Optimal statistical decisions. McGraw-Hill.


An Analytic Solution to Discrete . . . - Poupart, Vlassis, Hoey, Regan   (Correct)

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DeGroot, M. H. (1970). Optimal statistical decisions. New York: McGraw-Hill.


Bayesian Reputation Modeling in E-Marketplaces Sensitive.. - Regan, Poupart, Cohen   (Correct)

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DeGroot, M. H. 1970. Optimal Statistical Decisions. New York: McGraw-Hill.


Unknown -   (Correct)

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DeGroot, M.H(1970, Optimal statistical decisions. McGraw-Hill Inc., N.Y.


Nearly Optimal Exploration-Exploitation Decision Thresholds - Dimitrakakis (2006)   (Correct)

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Morris H. DeGroot. Optimal Statistical Decisions. John Wiley & Sons, 1970.


Inference and Learning in Hybrid Bayesian Networks - Kevin Murphy Report (1998)   (6 citations)  (Correct)

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M. DeGroot. Optimal Statistical Decisions. McGraw-Hill, 1970.


Probabilistic Independence Networks for Hidden Markov.. - Smyth, Heckerman, al. (1996)   (91 citations)  (Correct)

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DeGroot, M. 1970. Optimal Statistical Decisions. McGraw-Hill, New York.


Bayesian Adaptive Learning of the Parameters of - Hidden Markov Model   (Correct)

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Morris H. DeGroot. Optimal Statistical Decisions. McGraw-Hill Book Company, 1970.


Statistical Language Modelling - Gotoh, Renals (2003)   (Correct)

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Morris H. DeGroot. Optimal Statistical Decisions. McGraw Hill, New York, NY, 1970.


Variable Word Rate N-Grams - Yoshihiko Gotoh Steve (2000)   (Correct)

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Morris H. DeGroot. Optimal Statistical Decisions. McGraw Hill, New York, NY, 1970.


Planning Algorithms - LaValle (2004)   (3 citations)  (Correct)

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M. H. DeGroot. Optimal Statistical Decisions. McGraw Hill, New York, NY, 1970.


Order Parameters for Detecting Target Curves in Images.. - Yuille, Coughlan, Wu.. (2000)   (Correct)

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M. H. DeGroot. Optimal Statistical Decisions. McGraw-Hill. 1970.


Optimal Inspection Decisions - For The Block   (Correct)

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Morris H. DeGroot. Optimal Statistical Decisions. New York: McGraw-ra 1970.


Covariant Policy Search - Bagnell, Schneider (2003)   (Correct)

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M. DeGroot. Optimal Statistical Decisions. McGraw-Hill, 1970.


PCluster: Probabilistic Agglomerative Clustering of Gene - Expression Profiles Nir (2003)   (Correct)

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M. H. DeGroot. Optimal Statistical Decisions. McGraw-Hill, New York, 1970.


One Class Support Vector Machines for Detecting.. - Heller, Svore..   (Correct)

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M. DeGroot. Optimal Statistical Decisions. McGraw-Hill, New York, NY, 1970.


One Class Support Vector Machines for Detecting.. - Heller, Svore..   (Correct)

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M. DeGroot. Optimal Statistical Decisions. McGraw-Hill, New York, NY, 1970.


Uncertainty Assessment of Well Placement Optimization - Güyagüler, Horne   (Correct)

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DeGroot, M.: Optimal Statistical Decisions, McGrawHill, New York, USA (1970).


Optimal Search on a Technology Landscape - Stuart Kauffman Bios (1998)   (5 citations)  (Correct)

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DeGroot, M.H. (1970) Optimal Statistical Decisions. New York: McGraw-Hill Book Company.

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