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    Increasing the number of commonly represented features decreases the assignment error rate, but increases the level of redundancy between the representations. by W. Jeffrey Johnston (8463480)

    Published 2023
    “…This is true for points with any distribution that has non-zero variance. <b>C</b> At the average distance between two points (dashed lines), the probability of an assignment error decreases by orders of magnitude as the dimensionality of the commonly represented space increases, without changing the estimator variance for the representations <i>D</i><sub><i>XY</i></sub> = 10. …”
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