Produktbild: Mathematical Learning Models — Theory and Algorithms
Band 20

Mathematical Learning Models — Theory and Algorithms Proceedings of a Conference

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Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

27.09.1983

Herausgeber

U. Herkenrath + weitere

Verlag

Springer Us

Seitenzahl

226

Maße (L/B/H)

23,5/15,5/1,4 cm

Gewicht

345 g

Auflage

Softcover reprint of the original 1st ed. 1983

Sprache

Englisch

ISBN

978-0-387-90913-4

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

27.09.1983

Herausgeber

Verlag

Springer Us

Seitenzahl

226

Maße (L/B/H)

23,5/15,5/1,4 cm

Gewicht

345 g

Auflage

Softcover reprint of the original 1st ed. 1983

Sprache

Englisch

ISBN

978-0-387-90913-4

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: GPSR Kontakt

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  • Produktbild: Mathematical Learning Models — Theory and Algorithms
  • The Minimax Risk for the Two-Armed Bandit Problem.- Bandit Problems with Random Discounting.- Stochastic Approximation on a Bounded Convex Set.- Learning Automaton for Finite Semi-Markov Decision Processes.- A Local Asymptotic Minimax Optimality of an Adaptive Robbins-Monro Stochastic Approximation Procedure.- Dynamic Allocation Indices for Bayesian Bandits.- The Role of Dynamic Allocation Indices in the Evaluation of Suboptimal Strategies for Families of Bandit Processes.- On the Discretization Technique for Optimal Discounted Control of the Wiener Process.- Asymptotic Properties of Learning Models.- On the Infinitesimal Characterization of Monotone Stopping Problems in Continuous Time.- Numerical Investigation of the Two-Armed Bandit.- Uniform Bounds for a Dynamic Programming Model under Adaptive Control Using Exponentially Bounded Error Probabilities.- Stochastic Regression Models and Consistency of the Least Squares Identification Scheme.- Recursive Identification Techniques.- An Optimization Problem for Matrices with Application to Decision Models.- On a Class of Learning Algorithms with Symmetric Behavior under Success and Failure.- Convergence of a General Stochastic Approximation Process under Convex Constraints and Some Applications.- On Kersting’s Theorem on Weak Convergence of Recursions.- On Continuous Time Learning Models.- Convergence of Stochastic Approximation Algorithms with Non-Additive Dependent Disturbances and Applications.- Sequential Probability Ratio Tests for Homogeneous Markov Chains.- Allocation Rules for Sequential Clinical Trials.- Non-Deterministic Modelling and its Application in Adaptive Optimal Control.