Search Results for State, The.

Bioinformatics : The Machine Learning Approach.

Baldi, Pierre.

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-- 5 Neural Networks: The Theory -- 6 Neural Networks: Applications -- 7 Hidden Markov Models: The

Semi-Markov Chains and Hidden Semi-Markov Models toward Applications : Their Use in Reliability and DNA Analysis.

Barbu, Vlad.

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because sojourn times in any state can be arbitrarily distributed, as opposed to the geometrically

Inductive Logic Programming Approach to Statistical Relational Learning.

Kersting, K.

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-- Bayesian Logic Programs -- The Propositional Case: Bayesian Networks -- The First-Order Case -- Extensions

Markov-Modulated Processes and Semiregenerative Phenomena.

Pacheco, AntÃ³nio.

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8.2 The Model -- 8.3 The Actual and the Unsatisfied Demands -- 8.4 The Inverse of the Demand -- 8.5

Labelled Markov Processes.

Panangaden, Prakash.

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state spaces. The book covers basic probability and measure theory on continuous state spaces and then

Distribution Theory of Runs and Patterns and Its Applications : A Finite Markov Chain Imbedding Approach.

Fu, James C.

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Successes -- 3.6 The Distribution of the Longest Success Run -- 3.7 Waiting-Time Distribution of a Success

Pseudo Differential Operators And Markov Processes, Volume III : Markov Processes And Applications.

Jacob, Niels.

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Applications to Markov Processes Generated by Pseudo-Differential Operators -- 6.5 The Balayage-Dirichlet

From Markov Chains To Non-equilibrium Particle Systems.

Berg, Bernd A.

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-- 15.2. Linear Growth Model -- 15.3. Reaction-Diffusion Processes with Absorbing State -- 15.4. Mean

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