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词汇 datapoint
释义

Definition of datapoint in US English:

datapoint

nounˈdatəˌpointˈdātə-
  • An identifiable element in a data set.

    software that can quickly process tens of thousands of datapoints
    Example sentencesExamples
    • The slopes were evaluated from the tangents of the linear fit for all the datapoints between two points i and i + NP - 1 (NP = number of datapoints over the distance D) for all the points i in the height profile.
    • Simply removing either the last two groups or the four datapoints with the highest acceptor levels results in a reduced value of p = 0.2454, indicating a lack of evidence of dependence.
    • Support vector machines can be phrased as statistical query algorithms, but the number of queries scales with the number of datapoints.
    • Dividing the data into six groups of ~ 25 datapoints, with increasing uD + A, shows a greater level of heterogeneity in the local density s-values while maintaining a strong negative dependence of s on uD + A.
    • The whole set of 40 datapoints allows us to determine a good average of k 0 and [beta]. Only for the tryptophans of NSCP is an additional lifetime found, which might be an indication for additional sources of heterogeneity.

Definition of datapoint in US English:

datapoint

nounˈdātə-
  • An identifiable element in a data set.

    software that can quickly process tens of thousands of datapoints
    Example sentencesExamples
    • The whole set of 40 datapoints allows us to determine a good average of k 0 and [beta]. Only for the tryptophans of NSCP is an additional lifetime found, which might be an indication for additional sources of heterogeneity.
    • Support vector machines can be phrased as statistical query algorithms, but the number of queries scales with the number of datapoints.
    • The slopes were evaluated from the tangents of the linear fit for all the datapoints between two points i and i + NP - 1 (NP = number of datapoints over the distance D) for all the points i in the height profile.
    • Simply removing either the last two groups or the four datapoints with the highest acceptor levels results in a reduced value of p = 0.2454, indicating a lack of evidence of dependence.
    • Dividing the data into six groups of ~ 25 datapoints, with increasing uD + A, shows a greater level of heterogeneity in the local density s-values while maintaining a strong negative dependence of s on uD + A.
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