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They then assess the reliability of interpolation and extrapolation techniques by making predictions with particular data sets and analyzing the accuracy of their estimates.
The design of the codes is modular, their inputs being built as a block diagram in which each block is an instance of a more general entity called module provided with particular data.
Some of the analyses, however, may not be appropriate for use with particular data sets, or for particular regions or time periods within a dataset.
Some theoretical work associated with particular data sets has indicated that homoplasy obscures the phylogenetic signal for periods older than 600 MA, and eliminates the signal as 1000 MA is approached [ 42, 49].
To assess the impacts of data gaps in the C balance, we carried out a sensitivity analysis calculating potential errors associated with particular data gaps relative to the total C inputs using existing studies from either tropical wetlands or tropical lowland rainforest system.
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The basic premise is this: feed a machine-learning algorithm with particular data-set and its predictive powers can become startling.
As there is no theory for deciding which is the most convenient neural network architecture to deal with a particular data set, an experimental study was performed with different numbers of neuron in the hidden layer.
The E-score can be written as in equation 1. where i is the ith data element tested; p the p value associated with a hypothesis test; a the A-score associated with a particular data element; U the distribution of p values; W the distribution of A-scores; R the rank of the element' s p-value or A-score compared to U (W).
This talk will center around this trade-off with a particular data set: the data generated by students taking massive open on-line courses (MOOCs) offered by HarvardX.
The response ID denotes which response(s) in the source or background(s) data set(s) to return, in the event that more than one response has been loaded in association with a particular data set.
As there is no well-developed theory for deciding upon the most convenient neural network architecture to deal with a particular data set, an experimental study was conducted in which ten different architectures with one and two hidden neuron layers and five training algorithms – 50 different options combining network architecture and training algorithm – were compared.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com