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probability vector造句

"probability vector"是什么意思   

例句與造句

  1. Using this probability vector it is possible to create an arbitrary number of candidate solutions.
  2. This result is that the scaled probability vector is related to the backward probabilities by:
  3. The backward probability vectors above thus actually represent the likelihood of each state at time t given the future observations.
  4. Gibbs sampling will become trapped in one of the two high-probability vectors, and will never reach the other one.
  5. The logistic normal distribution is a more flexible alternative to the Dirichlet distribution in that it can capture correlations between components of probability vectors.
  6. It's difficult to find probability vector in a sentence. 用probability vector造句挺難的
  7. Multiplying u by that value gives a probability vector, giving the probability that the maximizing player will choose each of the possible pure strategies.
  8. A probabilistic forecaster or algorithm will return a probability vector "'r "'with a probability for each of the i outcomes.
  9. Another generalization that should be immediately apparent is to use a stochastic matrix for the transition matrices, and a probability vector for the state; this gives a probabilistic finite automaton.
  10. The "'logistic normal distribution "'is a generalization of the logit normal distribution to D-dimensional probability vectors by taking a logistic transformation of a multivariate normal distribution.
  11. We thus find that the product of the scaling factors provides us with the total probability for observing the given sequence up to time t and that the scaled probability vector provides us with the probability of being in each state at this time.
  12. We are here interested only in the equilibrium probability vector p ( \ infty ) \, given, in the usual way, by the dominant eigenvector of matrix P \, which is independent of the initialising vector p ( 0 ) \,.
  13. Finally, the Brouwer Fixed Point Theorem ( applied to the compact convex set of all probability distributions of the finite set \ { 1, . . ., n \ } ) implies that there is some left eigenvector which is also a stationary probability vector.
  14. If it is desired to inject this information into the model, the probability vector \ boldsymbol \ eta can be directly specified; or, if there is less certainty about these relative probabilities, a non-symmetric Dirichlet distribution can be used as the prior distribution over \ boldsymbol \ eta.
  15. This you then can represent as a probability vector [ 0.14, 0.17, . . ., 0.17, 0.18 ], which I've written sideways because I'm too lazy to make it vertical  but in fact mathematically row vectors are often more convenient here.
  16. A stationary probability vector \ boldsymbol { \ pi } is defined as a distribution, written as a row vector, that does not change under application of the transition matrix; that is, it is defined as a probability distribution on the set \ { 1, . . ., n \ } which is also a row eigenvector of the probability matrix, associated with eigenvalue 1:

相鄰詞匯

  1. "probability transition"造句
  2. "probability tree"造句
  3. "probability unit"造句
  4. "probability value"造句
  5. "probability variable"造句
  6. "probability wave"造句
  7. "probability waves"造句
  8. "probability weight"造句
  9. "probabilitydistribution"造句
  10. "probable"造句
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