Loss function and Minimax

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

Difference between Loss function and Minimax

Loss function vs. Minimax

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. Minimax (sometimes MinMax or MM) is a decision rule used in decision theory, game theory, statistics and philosophy for minimizing the possible loss for a worst case (maximum loss) scenario.

Similarities between Loss function and Minimax

Loss function and Minimax have 5 things in common (in Unionpedia): Decision theory, Expected utility hypothesis, Expected value, Regret (decision theory), Statistics.

Decision theory

Decision theory (or the theory of choice) is the study of the reasoning underlying an agent's choices.

Decision theory and Loss function · Decision theory and Minimax · See more »

Expected utility hypothesis

In economics, game theory, and decision theory the expected utility hypothesis, concerning people's preferences with regard to choices that have uncertain outcomes (gambles), states that if specific axioms are satisfied, the subjective value associated with an individual's gamble is the statistical expectation of that individual's valuations of the outcomes of that gamble.

Expected utility hypothesis and Loss function · Expected utility hypothesis and Minimax · 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 Minimax · See more »

Regret (decision theory)

In decision theory, on making decisions under uncertainty—should information about the best course of action arrive after taking a fixed decision—the human emotional response of regret is often experienced.

Loss function and Regret (decision theory) · Minimax and Regret (decision theory) · See more »

Statistics

Statistics is a branch of mathematics dealing with the collection, analysis, interpretation, presentation, and organization of data.

Loss function and Statistics · Minimax and Statistics · See more »

The list above answers the following questions

What Loss function and Minimax have in common
What are the similarities between Loss function and Minimax

Loss function and Minimax Comparison

Loss function has 80 relations, while Minimax has 65. As they have in common 5, the Jaccard index is 3.45% = 5 / (80 + 65).

References

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

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