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For instance, trying to debug a complex formula in Excel simply requires the user to click on the cell and read the formula. The same task in S2K may be difficult, with the formula filling several pages or alternately being built several layers deep (compounds of compounds) so that there is no single view of the formula. Additionally S2K's own ...
To handle the bounded storage constraint, streaming algorithms use a randomization to produce a non-exact estimation of the distinct number of elements, . State-of-the-art estimators hash every element into a low-dimensional data sketch using a hash function, (). The different techniques can be classified according to the data sketches they store.
To make such a formula, one replaces a number with a cell reference. For instance, the formula =5*C10 would produce the result of multiplying the value in cell C10 by the number 5. If C10 holds the value 3 the result will be 15. But C10 might also hold its formula referring to other cells, and so on.
Model auditors may undertake a detailed 'bottom-up' review (cell-by-cell checks) of each unique formula, and/or combine a 'top-down' analysis such as the performance of calculations based upon the project's documentation There is some debate as to whether a "cell-by-cell" or performance approach is most appropriate.
In mathematics and logic, the term "uniqueness" refers to the property of being the one and only object satisfying a certain condition. [1] This sort of quantification is known as uniqueness quantification or unique existential quantification, and is often denoted with the symbols "∃!"
People didn't just fill their plates this Thanksgiving weekend -- data shows they also filled their online shopping carts. Black Friday online shopping this year set a new high, reaching $10.8 ...
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).
Uniformly scatter a given number of points over the square; Count the number of points inside the quadrant, i.e. having a distance from the origin of less than 1; The ratio of the inside-count and the total-sample-count is an estimate of the ratio of the two areas, π / 4 . Multiply the result by 4 to estimate π.