Examples in Markov decision processes

Furkejuvvon:

Bibliográfalaš dieđut
Váldodahkki:	Piunovskiy, A. B.
Searvvušdahkki:	ebrary, Inc
Materiálatiipa:	Elektrovnnalaš E-girji
Giella:	eaŋgalasgiella
Almmustuhtton:	London : Singapore ; Hackensack, NJ : Imperial College Press ; Distributed by World Scientific Pub., c2013.
Ráidu:	Imperial College Press optimization series ; v. 2.
Fáttát:	Markov processes. Statistical decision. Electronic books.
Liŋkkat:	An electronic book accessible through the World Wide Web; click to view
Fáddágilkorat:	Lasit fáddágilkoriid Eai fáddágilkorat, Lasit vuosttaš fáddágilkora!

Geahča maid: Examples in Markov decision processes

Njuolggogeahčasteapmi
Markov processes and applications algorithms, networks, genome and finance /
Njuolggogeahčasteapmi
Markov processes for stochastic modeling
Njuolggogeahčasteapmi
Labelled Markov processes
Njuolggogeahčasteapmi
Markov chains theory, algorithms and applications /
Njuolggogeahčasteapmi
Semi-Dirichlet forms and Markov processes
Njuolggogeahčasteapmi
Dirichlet forms and symmetric Markov processes
Njuolggogeahčasteapmi
Dirichlet forms and symmetric Markov processes
Njuolggogeahčasteapmi
Markov processes and applications
Njuolggogeahčasteapmi
Markov processes, semigroups, and generators
Njuolggogeahčasteapmi
Markov processes, Feller semigroups and evolution equations
Njuolggogeahčasteapmi
Numerical methods of simulation and optimization of piecewise deterministic Markov processes : application to reliability /
Njuolggogeahčasteapmi
Markov-modulated processes & semiregenerative phenomena
Njuolggogeahčasteapmi
Markov chains : analytic and Monte Carlo computations /
Njuolggogeahčasteapmi
Symmetric Markov processes, time change, and boundary theory
Njuolggogeahčasteapmi
Markov processes from K. Itô's perspective /
Njuolggogeahčasteapmi
From Markov chains to non-equilibrium particle systems
Njuolggogeahčasteapmi
Semi-Markov chains and hidden semi-Markov models toward applications their use in reliability and DNA analysis /
Njuolggogeahčasteapmi
Distribution theory of runs and patterns and its applications a finite Markov chain imbedding approach /
Njuolggogeahčasteapmi
Brownian motion fluctuations, dynamics, and applications /
Njuolggogeahčasteapmi
Introduction to empirical processes and semiparametric inference
Njuolggogeahčasteapmi
Probability, random variables, and random processes theory and signal processing applications /
Njuolggogeahčasteapmi
Markov chain Monte Carlo innovations and applications /
Njuolggogeahčasteapmi
Survival and event history analysis a process point of view /
Njuolggogeahčasteapmi
Hidden Markov processes : theory and applications to biology /