Deep Learning Architectures: A Mathematical Approach (Springer Series in the Data Sciences)
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The Possibility Calculus: The Unified Theory of Fuzzy Logic, The Possibility Calculus, and Statistical Inference
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Mathematical Theory of Bayesian Statistics
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Variational Regularization for Systems of Inverse Problems: Tikhonov Regularization with Multiple Forward Operators (BestMasters)
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Feature Selection and Segmentation for Posterior fossa tumors: Includes KullBack leibler Divergence and multi class Bayesian feature Selection and segmentation
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Irreversibility and Dissipation in Microscopic Systems (Springer Theses)
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Pattern Theory: The Stochastic Analysis of Real-World Signals (Applying Mathematics)
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Robustness
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On the Achievable Rate of Stationary Fading Channels (Foundations in Signal Processing, Communications and Networking, 6)
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Statistical Implications of Turing's Formula
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