Sentence examples for from a probability density from inspiring English sources
The Monte Carlo method relies on realizations (draws) from a probability density function.
All these methods are based on sampling from a Probability Density Function (PDF) which is updated in each iteration using elite samples of the population.
SCE-based pilot allocation works based on the sampling from a Probability Density Function (PDF) which is updated in each iteration.
The mixture model is a well-known clustering technique which assumes that the data (here the latitude and longitude of earthquakes) come from a probability density function taken to be a mixture of G component density functions in unknown proportions (Everitt, 1993).
We model the protein ensemble as generated from a probability density function.
In our case, we assume a mj is a random variable which is drawn from a probability density function f(x) and is larger than a pj with probability θ.
The crucial point is for the engineer to be able to quantify the quality of the model, which is probabilistic with respect to a set of measurements from which a probability density function can be extracted.
A common mechanism to achieve differential privacy is the Laplace mechanism [ 18] that adds a small amount of independent noise to the output of a numeric function f to fulfill ϵ-differential privacy of releasing f, where the noise is drawn from Laplace distribution with a probability density function Pr[ η = x] = (1/2 b) e−| x |/ b.
Geographic profiling, a related topic, is a technique used to create a probability density from a set of crimes by a single individual to predict where the individual is likely to live or work [1].
A particular distribution function (F_{x,y}) is a probabilistic metric (or distance), which takes values (F_{x,y} ( t ) = H ( t )) identified with a mapping (H mathbf{R} to [ 0, 1 ]) in the set of all the distribution functions L, is denoted a probabilistic metric which is a mapping from (X times X) to a probability density function (F:mathbf{R} to [ 0, 1 ]).
Based on a probability density function from the Pfam domain population [ 8], many of the top Pfam domains enriched in cancer genes vs. non-cancers in our study showed significantly higher-than-expected interaction promiscuity in term of the number of different domains they interact with, such as protein kinase domain, Ets domain and Homeobox domain (Table 2).
