Examples of 'bayes' in a sentence
Meaning of "bayes"
bayes (noun) - A statistical technique used for calculating probabilities based on prior knowledge and new evidence
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- plural of baye
- A surname.
- Thomas Bayes
How to use "bayes" in a sentence
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bayes
Bayes he taυght me with hymnals too.
This is an obvious application of bayes rule.
Bayes only does what it says it does.
What you have here is a Bayes network.
Bayes calls out commands for the battle.
You learned a lot about Bayes networks.
Bayes bore no biological children in any of her marriages.
Definition of conditional probabilities and Bayes rule.
Bayes theorem is a means to figure out conditional probability.
A better way to think about it is with Bayes.
Bayes proposed his theorem but did not publish it.
The classification may be based on a Bayes classifier.
Bayes rule can be interpreted as indicating how to update.
So here is our Bayes network again.
Bayes was a hypocrite church type.
See also
And we are going to use Bayes rule to replace that probability.
Bayes has high hopes.
Let us put up a simple Bayes net.
Bayes managed to connect these with some simple arithmetic.
This is a classical example of a Bayes network.
Bayes networks define probability distributions over graphs or random variables.
This shrinkage effect is typical of empirical Bayes analyses.
Bayes optimal classifier.
This shrinkage is a typical behavior in hierarchical Bayes models.
Bayes error rate.
So the compactness of the Bayes network.
Bayes evidently thought so little of his theorem that he did not bother to publish it.
Additive smoothing is commonly a component of naive Bayes classifiers.
Mitch Bayes did not hang out here.
Support vector machines and the Bayes rule.
The Bayes optimal classifier is a classification technique.
This is the simplest example of a hierarchical Bayes model.
Thomas Bayes lived in the eighteenth century.
And here we end with Bayes for today.
A naive Bayes classifier considers each of these.
We found in this review that the use of Bayes.
Bayes Rule is usually stated as follows.
So we are now ready to define Bayes networks in a more general way.
If a Bayes rule is unique then it is admissible.
Let me give you a flavor of a Bayes network using an example.
Naïve Bayes is a conditional probability model.
This can be directly shown using the Bayes theorem.
Hierarchical Bayes analysis of multilevel health services data.
The following is a simple example of parametric empirical Bayes estimation.
The Bayes talk is in one section.
This essay contains a statement of a special case of Bayes theorem.
Naive Bayes assumes that the features are independent.
That is indeed how you compute the Bayes factor.
The instrument of Bayes networks is really essential to a number of problems.
This ratio of the probabilities is called the Bayes factor.
