uniform probability distribution sentence in Hindi
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- A maximally mixed state, the quantum analog of the uniform probability distribution, has maximum von Neumann entropy.
- Indeed such uniform probability distributions have maximum possible entropy H ( X ) = \ log _ 2 ( n ).
- "' Truncated binary encoding "'is an entropy encoding typically used for uniform probability distributions with a finite alphabet.
- |3 = The th cumulant of the uniform probability distribution on the interval [ " 1, 0 ] is } }.
- At the other extreme, if X is the uniform probability distribution with n possible values, intuitively one would expect X is associated with the most uncertainty.
- In Bayesian statistics, Bayes'rule is often applied with a so-called improper prior, for instance, a uniform probability distribution over all real numbers.
- Exact t-designs over quantum states cannot be distinguished from the uniform probability distribution over all states when using t copies of a state from the probability distribution.
- The uniform probability distribution on the space of these bitstrings assigns exactly equal weight 2 " " n " to each string of length " n ".
- In some cases the value of a quantile may not be uniquely determined, as can be the case for the median ( 2-quantile ) of a uniform probability distribution on a set of even size.
- For a set of symbols with a uniform probability distribution and a number of members which is a power of two, Huffman coding is equivalent to simple binary block encoding, e . g ., ASCII coding.
- In digital image processing, the pixels of a " white noise image " are typically arranged in a rectangular grid, and are assumed to be independent random variables with uniform probability distribution over some interval.
- Here, " blind search " means that at each step of the algorithm, the element v \ in V is chosen at random with uniform probability distribution from the elements of V that have not been chosen previously.
- We also note that, if the equation shown above converges, we can replace the initial vector \ bar c _ { i } by a vector \ bar e that is an m-vector representing uniform probability distribution over all m peers.
- The process is generally initialized with a uniform probability distribution over the rotamers that is, if there are p rotamers at the kth position in the protein, then the probability of any individual rotamer r _ { k } ^ { A } is 1 / p.
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