中英
uncorrelated
/ ˌʌnˈkɒrɪleɪtɪd /
/ ʌnˈkɒrɪleɪtɪd /
  • 简明
  • adj.不相关的
  • GRE/
  • 网络释义
  • 专业释义
  • 英英释义
  • 1

    [科技 科技] 不相关的

    因此,必须假定w和z的平均值均为 0 且w与z不相关 (Uncorrelated)。这样,在任何时刻k、w k 和x k 均为不相关的随机变量,而杂讯变 异量矩阵S w 和S z 分别定义为: 系统程序杂讯变异量: ( ) T k k ...

  • 2

     无关

     通常都假设维度间为彼此无关(Uncorrelated),如此共变异矩阵只需保 留对角线上的值 对角化。  E.g.

  • 3

     不相关

    ... covariance协方差 uncorrelated不相关的 uniform/even均匀的,一致的/ normalized energy归一化能量 ...

  • 4

     相关

    相关相关(Uncorrelated) ,

短语
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  • 双语例句
  • 权威例句
  • 1
    There are two types of subqueries, uncorrelated and correlated.
    有两种类型的子查询: 不相关的 和 相关的。
  • 2
    These collective movements turn uncorrelated risks into highly correlated ones.
    这些集体行为将无关的风险转变成高度相关的风险。
  • 3
    Two identical chaotic systems starting from almost identical initial states, end in completely uncorrelated trajectories.
    两个同源的混沌系统从几乎完全相同的初始状态开始演变,最后划出两个完全不相关的轨迹。
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  • 同近义词
  • 百科
  • Uncorrelated

    In probability theory and statistics, two real-valued random variables, X,Y, are said to be uncorrelated if their covariance, E(XY) - E(X)E(Y), is zero. A set of two or more random variables is called uncorrelated if each pair of them are uncorrelated. If two variables are uncorrelated, there is no linear relationship between them.Uncorrelated random variables have a Pearson correlation coefficient of zero, except in the trivial case when either variable has zero variance (is a constant). In this case the correlation is undefined.In general, uncorrelatedness is not the same as orthogonality, except in the special case where either X or Y has an expected value of 0. In this case, the covariance is the expectation of the product, and X and Y are uncorrelated if and only if E(XY) = 0.If X and Y are independent, then they are uncorrelated. However, not all uncorrelated variables are independent. For example, if X is a continuous random variable uniformly distributed on [−1, 1] and Y = X2, then X and Y are uncorrelated even though X determines Y and a particular value of Y can be produced by only one or two values of X.

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