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class of distributions造句

例句與造句

  1. This class of distribution may be better adapted to the signals considered.
  2. Note that not all classes of distributions contain a maximum entropy distribution.
  3. But distributions learning theory deals with learning class of distributions that have more complicated description.
  4. Both classes of distribution have properties such as infinitely divisibility, power law tails and unimodality.
  5. The Weierstrass transform can also be defined for certain classes of distributions or " generalized functions ".
  6. It's difficult to find class of distributions in a sentence. 用class of distributions造句挺難的
  7. One more complicated class of distributions is the distributions of sum of variables that follow simple distributions.
  8. In this framework the input is a number of samples drawn from a distribution that belongs to a specific class of distributions.
  9. Although learnability of a class of distributions can be defined using any of these distances, applications refer to a specific distance.
  10. Spectral correlation has been used both in bilinear time-frequency distributions, but is not considered one of Cohen's class of distributions.
  11. In some settings the class of distributions \ textstyle C is a class with well known distributions which can be described by set a set of parameters.
  12. Exact solutions are known for a small class of distributions, particularly when the marginalized-out parameter is the conjugate prior of the distribution of the data.
  13. If something ( such as preservation of the class of distributions ) were true for all members of the class, it would be true in the limiting case as well.
  14. It is not generally possible to extend this definition to arbitrary distributions, although a class of distributions on which this series still converges in an appropriate weak sense is identified by.
  15. Dispersion models serve as error distributions for generalized linear models and represent a broad class of distributions that allow for the analysis of data that go beyond the restrictions of the normal distribution.
  16. One very common technique in order to find a learning algorithm for a class of distributions \ textstyle C is to first find a small \ textstyle \ epsilon-cover of \ textstyle C.
  17. 更多例句:  下一頁

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