Examples of using Bernoulli in English and their translations into Chinese
{-}
-
Political
-
Ecclesiastic
-
Programming
In particular, some estimators such as Bernoulli Naive Bayes explicitly model discrete boolean random variables.
For instance, in Section 9.3.3 we shall consider mixtures of Bernoulli distributions as an example of a mixture model for discrete variables.
Jacob Bernoulli, Abraham de Moivre, and Thomas Bayes showed how to infer previously unknown probabilities from the empirical facts of reality.
In mathematics, a curve that looks like a figure of eight is called Lemniskata Bernoulli(from the Greek. lemniskos- bandage, tape);
In fact, the world was given this gift in 1738 by a Dutch polymath named Daniel Bernoulli.
Normalizing this equation will, of course, give another beta distribution, confirming that this is indeed a conjugate prior for the bernoulli distribution.
Instead of Gaussians, we can use other distributions for the components, such as Bernoulli distributions if the target variables are binary rather than continuous.
The problem was posed in 1696 by Johann Bernoulli, and its solutions were published next year.
The Bernoulli family has produced many notable artists and scientists, in particular a number of famous mathematicians in the 18th century.
In fact, when n= 1, the binomial distribution is a Bernoulli distribution.
This can be useful for downstream probabilistic estimators that make assumption that the input data is distributed according to a multi-variate Bernoulli distribution.
The first indication of e as a constant was discovered by Jacob Bernoulli, trying to find the value of the following expression.
In a sense, what Bernoulli was saying is, if we can estimate and multiply these two things, we will always know precisely how we should behave.
In particular, some estimators such as Bernoulli Naive Bayes explicitly model discrete boolean random variables.
As the air speeds up, it creates a low pressure region according to the Bernoulli principle.
A Bernoulli distribution has only two possible outcomes, namely 1(success) and 0(failure), and a single trial.
A Bernoulli NB classifier requires some form of feature selection or else its accuracy will be low.
He stayed in Basel until 1904, married photographer Maria Bernoulli and moved with her to the country.
(Since Bernoulli's initial shape of the string was given by an analytic expression, Euler rejected Bernoulli's solution as being the most general solution.).
In fact, when n= 1, the binomial distribution is a Bernoulli distribution.