data point

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ThesaurusAntonymsRelated WordsSynonymsLegend: point - an item of factual information derived from measurement or research
information - knowledge acquired through study or experience or instruction
meter reading, reading, indication - a datum about some physical state that is presented to a user by a meter or similar instrument; "he could not believe the meter reading"; "the barometer gave clear indications of an approaching storm"
statistic - a datum that can be represented numerically
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References in periodicals archive ?
The source data vector (with parameters of the base machine and its non-repeating combinations) for the investigated electrical machine was saved into a .csv file (comma separated data) and imported into a block of the Microsoft Azure model.
This modulated data vector is first processed by N x K digital precoder [W.suib.D] followed by N number of RF chains.
The equation above indicates that, by multiplying the extractor [] with the data vector y, the signal vector [b.sub.S] is selectively extracted with no distortion.
Assume a data vector x=[[[x.sub.1], [x.sub.2],...,[x.sub.N]].sup.T], has a K-sparse representation under a transform basis [PSI]
Each weight vector is of the same dimension as the input data vector, and is projected onto a node in the grid space.
At step-2, an attempt is made to detect the outlying data vector from the test dataset using the [beta]-weight function.
The normal operation data of the active power is used as experiment data vector with 500 samples.
As shown in Appendix C, the result of the DFT is a complex valued data vector, in which the first element [[??].sub.1] always contains the mean value of the data series.
We impose no sampling restriction on X and we allow it to be random--the same assumption that we make for the other elements of the data vector. For example, for the case in which [??] is obtained by regressing Ton 2I(based on a correctly specified nonlinear model), we treat both Y and X as random in sampling.
Sequential training is repetitive as batch training but instead of sending all data vectors to the map for weight adjustment, one data vector at a time is sent to the network.