Examples of using Probability distribution in English and their translations into Vietnamese
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These forms of radiation occur due to fact that electrons moving in orbits around the nucleus of an atom are arranged in different energy levels within their probability distribution functions.
If it is too big(close to 1), then the probability after converging is independent of the starting node(ie: the probability distribution only reflect the centrality of each node but not the community of the starting node).
In the absence of any reason to the contrary, one should, to a first approximation, assume a roughly uniform probability distribution over many billions of years for the rate of emergence of technological civilizations.
also known as relative standard deviation(RSD) is a standardized measure of dispersion of a probability distribution or frequency distribution. .
quantile may not be uniquely determined, as can be the case for the median(2-quantile) of a uniform probability distribution on a set of even size.
define Markov chains with finitely many states.[70] A row of the stochastic matrix gives the probability distribution for the next position of some particle currently in the state that corresponds to the row.
The Poisson distribution is sometimes called the law of small numbers because it is the probability distribution of the number of occurrences of an event that happens rarely
For example, every continuous probability distribution has a median, which may be estimated using the sample median
In quantum mechanics, the behavior of an electron in an atom is described by an orbital, which is a probability distribution rather than an orbit.
we randomly generate 2 n R{\displaystyle 2^{nR}} codewords of length n from a probability distribution Q.
In this graph the black line is probability distribution for the test statistic, the critical region is
The person who asked the question knows which probability distribution the algorithm is using, so she has
Assuming a probability distribution is normally distributed,
Μ assigns to each information set h a probability distribution over the nodes in h, with the interpretation that these are the beliefs of player i(h)
In this graph the black line is probability distribution for the, the is the set of values to the right of the observed data point observed value of the test statistic
is an algorithm which does not use the transition probability distribution(and the reward function)
are concerned with relations which comprise long sequences of decisions and a multitude of decision-makers, there are frequent opportunities to make relatively simple assumptions about the probability distribution of these aggregate relations.
Several probability distributions are so important in theory or applications that they have been given specific names.
Probability distributions can also be specified via moments or the characteristic function, or in still other ways.
It uses graphical models to describe probability distributions when no other books apply graphical models to machine learning.