Loss function and Stochastic control

Shortcuts: Differences, Similarities, Jaccard Similarity Coefficient, References.

Difference between Loss function and Stochastic control

Loss function vs. Stochastic control

In mathematical optimization, statistics, econometrics, decision theory, machine learning and computational neuroscience, a loss function or cost function is a function that maps an event or values of one or more variables onto a real number intuitively representing some "cost" associated with the event. Stochastic control or stochastic optimal control is a subfield of control theory that deals with the existence of uncertainty either in observations or in the noise that drives the evolution of the system.

Similarities between Loss function and Stochastic control

Loss function and Stochastic control have 4 things in common (in Unionpedia): Bayesian probability, Expected value, Independent and identically distributed random variables, Optimal control.

Bayesian probability

Bayesian probability is an interpretation of the concept of probability, in which, instead of frequency or propensity of some phenomenon, probability is interpreted as reasonable expectation representing a state of knowledge or as quantification of a personal belief.

Bayesian probability and Loss function · Bayesian probability and Stochastic control · See more »

Expected value

In probability theory, the expected value of a random variable, intuitively, is the long-run average value of repetitions of the experiment it represents.

Expected value and Loss function · Expected value and Stochastic control · See more »

Independent and identically distributed random variables

In probability theory and statistics, a sequence or other collection of random variables is independent and identically distributed (i.i.d. or iid or IID) if each random variable has the same probability distribution as the others and all are mutually independent.

Independent and identically distributed random variables and Loss function · Independent and identically distributed random variables and Stochastic control · See more »

Optimal control

Optimal control theory deals with the problem of finding a control law for a given system such that a certain optimality criterion is achieved.

Loss function and Optimal control · Optimal control and Stochastic control · See more »

The list above answers the following questions

What Loss function and Stochastic control have in common
What are the similarities between Loss function and Stochastic control

Loss function and Stochastic control Comparison

Loss function has 80 relations, while Stochastic control has 27. As they have in common 4, the Jaccard index is 3.74% = 4 / (80 + 27).

References

This article shows the relationship between Loss function and Stochastic control. To access each article from which the information was extracted, please visit:

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