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discrete variable वाक्य

"discrete variable" हिंदी मेंdiscrete variable in a sentence
उदाहरण वाक्यमोबाइल
  • These two approaches can each be further divided into three families of protocols : discrete variable, continuous variable and distributed phase reference coding.
  • However, does vary strongly with discrete variables such as numbers of particles, and so it must be applied before summing over particle numbers.
  • These five ideas turn out to be discrete variables, but the profit rate will go up or down, depending on the choice of measure.
  • Although we have used words and documents in this example, the co-occurrence of any couple of discrete variables may be modelled in exactly the same way.
  • The binomial distribution article details such an application of the central limit theorem in the simple case of a discrete variable taking only two possible values.
  • A "'characteristic based product configurator "'is a product configurator extension which uses a set of discrete variables, called characteristics ( or features ), to define all possible product variations.
  • In this context, " discretization " may also refer to modification of variable or category " granularity ", as when multiple discrete variables are aggregated or multiple discrete categories fused.
  • Because the distribution of a continuous latent variable can be approximated by a discrete distribution, the distinction between continuous and discrete variables turns out not to be fundamental at all.
  • The design of the ENIAC, and its immediate successor the EDVAC ( Electronic Discrete Variable Automatic Computer ), which added stored memory, became widespread after a Philadelphia conference in the summer of 1946.
  • "' Pseudo-spectral methods "', also known as discrete variable representation ( DVR ) methods, are a class of numerical methods used in applied mathematics and scientific computing for the solution of partial differential equations.
  • This can be alternatively phrased as : " a person who does not use the principle of indifference to assign prior probabilities to discrete variables, is either not ignorant about them, or reasoning inconsistently ".
  • From the definition of mutual information for discrete variables, the mutual information I ( F _ a; C ) between the aggregate feature variable F _ a and the category variable C is given by:
  • For instance, the above expression allows for determining statistical characteristics of such a discrete variable ( such as its mean, its variance and its kurtosis ), starting from the formulas given for a continuous distribution of the probability.
  • In contrast, a "'discrete variable "'over a particular range of real values is one for which, for any value in the range that the variable is permitted to take on, there is a positive minimum distance to the nearest other permissible value.
  • "' Discrete time "'views values of variables as occurring at distinct, separate " points in time ", or equivalently as being unchanged throughout each non-zero region of time ( " time period " ) & mdash; that is, time is viewed as a discrete variable.
  • Von Neumann joined the team, contributed ideas for ENIAC's successor, EDVAC ( Electronic Discrete Variable Calculator ), and wrote a widely distributed paper on those ideas, " First Draft of a Report on the EDVAC, " which included certain of Eckert's and Mauchly's concepts without crediting them.
  • ? " c " is the intercorrelation of two discrete variables and may be used with variables having two or more levels . ? " c " is a symmetrical measure, it does not matter which variable we place in the columns and which in the rows.
  • In the following formalism, the number of nuclides or the nuclide population " N ", is of course a discrete variable ( a natural number )  but for any physical sample " N " is so large that it can be treated as a continuous variable.
  • For example, a four-way discrete variable of blood type with the possible values " A, B, AB, O " would be converted to separate two-way dummy variables, " is-A, is-B, is-AB, is-O ", where only one of them has the value 1 and all the rest have the value 0.
  • In problems with discrete variables ( e . g . dice, cards, categorical data ) the principle reduces to the principle of indifference, as the " symmetry " in the discrete case is a permutation of the labels, that is the permutation group is the relevant transformation group for this problem.
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