Decision Theory: An Introduction to Dynamic Programming and Sequential Decisions

Authors:
John Bather
Affiliations:
-
Venue:
Decision Theory: An Introduction to Dynamic Programming and Sequential Decisions
Year:
2000

Citing 0
Cited 8

Optimal and heuristic policies for dynamic server allocation

Journal of Parallel and Distributed Computing - Special issue: Design and performance of networks for super-, cluster-, and grid-computing: Part I
Tuning continual exploration in reinforcement learning: An optimality property of the Boltzmann strategy

Neurocomputing
Randomized shortest-path problems: Two related models

Neural Computation
Concept detectors: how good is good enough?

MM '09 Proceedings of the 17th ACM international conference on Multimedia
So near and yet so far: New insight into properties of some well-known classifier paradigms

Information Sciences: an International Journal
Improving architecture-based self-adaptation using preemption

SOAR'09 Proceedings of the First international conference on Self-organizing architectures
Simulating the future of concept-based video retrieval under improved detector performance

Multimedia Tools and Applications
A reward-and-punishment-based approach for concept detection using adaptive ontology rules

ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)

Quantified Score

Hi-index	0.00

Visualization

Abstract

From the Publisher:Opening with a brief discussion of the historical background, the book describes deterministic models, in which the choice between decision is unaffected by chance. Then considering decision in the face of uncertainty, the material then closes with a discussion of more complex models, introduction the reader to a wide range of applications of the method.