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A Probabilistic Theory Of Pattern Recognition, Sie (Pb-2014)
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A Probabilistic Theory of Pattern Recognition (Stochastic Modelling and Applied Probability)
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Pattern Recognition and Machine Learning (Information Science and Statistics)
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Probabilistic Graphical Models: Principles and Techniques (Adaptive Computation and Machine Learning series)
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Probabilistic Graphical Models: Principles and Applications (Advances in Computer Vision and Pattern Recognition)
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Bayesian Programming (Chapman & Hall/ Crc: Machine Learning & Pattern Recognition)
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A Probabilistic Theory of Pattern Recognition (Stochastic Modelling and Applied Probability) by Luc Devroye (1997-02-20)
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Applications Of Mathematics- A Probabilistic Theory Of Pattern Recognition, Sie (Exclusive) (Pb-2014)
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Plan, Activity, and Intent Recognition: Theory and Practice
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Advanced Quantum Communications: An Engineering Approach
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Advanced Structured Prediction (Neural Information Processing series)
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Non-Cooperative Target Tracking, Fusion and Control: Algorithms and Advances (Information Fusion and Data Science)
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Handwriting Recognition: Soft Computing and Probabilistic Approaches (Studies in Fuzziness and Soft Computing) (v. 133)
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Decision Processes in Dynamic Probabilistic Systems (Mathematics and its Applications)
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Utility-Based Learning from Data (Chapman & Hall/CRC: Machine Learning & Pattern Recognition)
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