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Continuous Variable: can take on any value between two specified values. Obtained by measuring. Covariance: a measure of the direction of the linear relationship between two variables. Discrete ...
We talk a lot about quantum computation and quantum key distribution here at Ars, but when we do this, we're usually talking about a discrete logic system. That is, the quantum system uses a set of ...
Classifying a variable as a particular type of data is important when considering how to present the data. Data can be presented in a number of ways, which depends on the type of variable and the uses ...
A generalized distance for discrete variables which is analogous to the Mahalanobis generalized distance is presented. Comparisons are made with other distance measures which are closely related and ...
While graphical models for continuous data (Gaussian graphical models) and discrete data (Ising models) have been extensively studied, there is little work on graphical models for datasets with both ...
Classifying a variable as a particular type of data is important when considering how to present the data. Data can be presented in a number of ways, which depends on the type of variable and the uses ...
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