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Similarities within the modeling approaches, both approaches are based on decision theory, are the reason for this.
In this section, a further approach, based on decision theory, is presented that performs live migration actions only if SLA violations due to future host overload states are greater than the penalty of VM live migration.
The first goal of this paper is to propose a state of the art, and to discuss the common points, advantages and drawbacks of the various proposals within a unified formal framework based on decision theory.
Methods based on decision theory are being developed by health economists that can contribute to the design of clinical trials in such a way that they can more effectively lead to better informed drug funding decisions on the basis of cost-effectiveness in addition to clinical outcomes.
To prioritize conservation action in the face of uncertainty it may be best to use tools that analyse the multivariate functional space based on decision theory (see McCarthy and Possingham 2007).
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The approach is based on decision and detection theories and include both the probability of false alarm and the probability of detection.
In Section 3 we develop a decision support tool, based on Markov decision theory, that assists the scheduling process of elective and semi-urgent surgeries.
Classifiers based on Bayesian decision theory are simple, probabilistic classifiers that apply Bayesian decision theory with conditional independence assumptions, providing a simple approach to discriminative classification learning [57].
Third, based on Markov decision theory, we develop a decision support tool that assists the scheduling process of elective and semi-urgent surgeries.
Although the framework is based on normative decision theory, an important conclusion of the paper is that heuristics play a crucial role in design.
This chapter explores classifiers based on Bayes Decision Theory.
More suggestions(15)
based on possibility theory
based on percolation theory
based on equilibrium theory
based on decision implementation
based on decision stump
based on optimization theory
based on decision feedback
based on perturbation theory
based on decision curve
based on auction theory
based on propagation theory
based on decision modelling
based on sound theory
based on decision autonomy
based on piston theory
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