2016
DOI: 10.1007/978-3-319-40111-9_5
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Web Browser-Based Forecasting of Economic Time-Series

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Cited by 2 publications
(5 citation statements)
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“…In order to test the capabilities of web browsers in financial time‐series forecasting, two experiments have been carried out using jsEvRBF , updating those performed in our previous work (Rivas et al, ). For the first experiment (see section 4.1) and in order to test the performance in a volunteer computing set up, we have effectively opened the system to a wide community of users, so that many different devices, using different operating systems and web browsers have participated in it.…”
Section: Experiments and Resultssupporting
confidence: 77%
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“…In order to test the capabilities of web browsers in financial time‐series forecasting, two experiments have been carried out using jsEvRBF , updating those performed in our previous work (Rivas et al, ). For the first experiment (see section 4.1) and in order to test the performance in a volunteer computing set up, we have effectively opened the system to a wide community of users, so that many different devices, using different operating systems and web browsers have participated in it.…”
Section: Experiments and Resultssupporting
confidence: 77%
“…With respect to the accuracy of the forecasting performed in each experiment, the MSE of the best solution found along all the executions was 6×10 −4 . As can be see in Table , this solution is as good as the average one found by the original algorithm (EvRBF) and much better that our previously published results (Rivas et al, ). The later is due to the fact that most of the executions have finished with valid values, since new versions of Safari and Chrome browsers (i.e., AppleWebKit‐based browsers) seems to be less affected by the NaN error we found in our previous work.…”
Section: Experiments and Resultssupporting
confidence: 74%
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