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e.probability theory » probabillity theory, probability theorem, hyperstability theory
2probability theory » probabillity theory, probability theorem, probabilistic theory
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1
by Gimel'farb, Georgy L.
Published 1999
Springer Netherlands
Table of Contents: “... and stochastic approximation -- 2 Markov and Non-Markov Gibbs Image Models -- 2.1 Traditional Markov/Gibbs image...”
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2
by Vasques, Xavier
Published 2024
Wiley
Table of Contents: “... -- 2.1.1.8 Quantile Transformation 48 -- 2.1.2 Example: Rescaling Applied to an SVM Model 50 -- 2.2...”
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3
by Blake, Andrew, Isard, Michael
Published 1998
Springer London
Table of Contents: “... Probability -- B Stochastic dynamical systems -- B.1 Continuous-time first-order dynamics -- B.2 Second-order...”
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4
by Mikhailov, Alexander S., Loskutov, Alexander Yu
Published 1996
Springer Berlin Heidelberg
Table of Contents: “... and Transition Probabilities -- 10. Birth-Death Systems -- 10.1 Stochastic Birth-Death Models -- 10.2...”
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5
Published 2012
Springer Berlin Heidelberg
Table of Contents: “...: A Weekday-Based -- Adaptive Exploration Using Stochastic Neurons -- Comparison of Long-Term...”
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6
Published 1997
Springer US
Table of Contents: “... Regression with Gaussian Processes -- 67 Stochastic Forward-Perturbation, Error Surface and Progressive...”
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7
Published 2012
Springer Berlin Heidelberg
Table of Contents: “... Based on Dynamic Field Theory -- Self-organized Reservoirs and Their Hierarchies -- On-Line Processing...”
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8
by MacCormick, John
Published 2002
Springer London
Table of Contents: “... The Condensation algorithm -- 2.1 The basic idea -- 2.2 Formal definitions -- 2.3 Operations on particle sets...”
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9
Published 1998
Springer US
Table of Contents: “.... Fuzzy Decision Processes with Expected Fuzzy Rewards -- 22. On the Computability of Possibilistic...”
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10
by Richter, Michael M., Paul, Sheuli, Këpuska, Veton, Silaghi, Marius
Published 2022
Springer International Publishing
Table of Contents: “... Stochastic Processes -- 10.1 Preliminaries on Probabilities -- 10.2 Basic Concepts of Stochastic Processes...”