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In this study, the turning points prediction (TPP) framework is presented and further employed to develop a novel trading strategy designing approach to financial investment.
Turning points prediction has long been a tough task in the field of time series analysis due to its strong nonlinearity, and thus has attracted many research efforts.
The paper also presents the Pareto optimal points prediction using second order Taylor series, so that an optimal design can be jointly determined by all designers from different manufacturers.
Supplementary data are available online at http://bib.oxfordjournals.org/ Key points Prediction accuracies strongly depend on the complexity of the network topology.
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Two models were trained on the proper training set, the first of which predicted the pGI50 values (point prediction model), whereas the second predicted the errors in the prediction (error model), ρ ^.
This goal is achieved in a reasonable way by taking into account not only point prediction but the whole predictive distribution.
Point prediction capability of the software with predicted H2 production rate lead to the idea of confirmation of the conditions located within the levels defined previously.
The probability distribution of the respiratory quotient of the out-of-bag subjects was predicted by a normal distribution with mean equal to the respective point prediction of the respiratory quotients from the LASSO model.
The probability distribution of the respiratory quotient of the out-of-bag subjects was predicted by a normal distribution with mean equal to the respective point prediction of the respiratory quotients from the support vector machine model.
To paraphrase Charles Barkley, any knucklehead can make a point prediction — but it takes brains to calculate a confidence interval.
This one point prediction has given acceptable results when comparison is made to experimental values.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com