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When the estimated number and the true value is equal, the estimator is considered unbiased. This is called an unbiased estimator. The estimator will become a best unbiased estimator if it has minimum variance. However, a biased estimator with a small variance may be more useful than an unbiased estimator with a large variance. [1]
In computational complexity theory, a probabilistically checkable proof (PCP) is a type of proof that can be checked by a randomized algorithm using a bounded amount of randomness and reading a bounded number of bits of the proof. The algorithm is then required to accept correct proofs and reject incorrect proofs with very high probability.
In a classification task, the precision for a class is the number of true positives (i.e. the number of items correctly labelled as belonging to the positive class) divided by the total number of elements labelled as belonging to the positive class (i.e. the sum of true positives and false positives, which are items incorrectly labelled as belonging to the class).
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A French court found all 51 defendants guilty on Thursday in a mass rape case including Dominique Pelicot, who repeatedly drugged his then wife, Gisele, and allowed dozens of strangers into the ...
All employees of the same class will have the same allowance but can vary allowance amounts within classes by age and number of dependents. Let's say an employee pays a $40 copay to see a specialist.
Some Americans feel they have no choice but to get the care their doctors recommend, even if their insurers deny it. That can result in massive bills.
An essential characteristic of the typical set is that, if one draws a large number n of independent random samples from the distribution X, the resulting sequence (x 1, x 2, ..., x n) is very likely to be a member of the typical set, even though the typical set comprises only a small fraction of all the possible sequences.