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The level of accuracy achieved by SVR and GPR is virtually independent of the rate constants governing the respective reaction steps. Further, the reduction of high-dimensional voltammetric signals by manual selection of typical voltammetric peak features decreased the performance of both regression algorithms compared to a reduction by downsampling or principal component analysis. After training on simulated data sets, diffusion coefficients were estimated by the regression algorithms for experimental data comprising voltammetric signals for three organometallic complexes.<\/jats:p>\n          <\/jats:sec>\n          <jats:sec>\n            <jats:title>Conclusions<\/jats:title>\n            <jats:p>Estimated diffusion coefficients closely matched the values determined by the parameter fitting method, but reduced the required computational time considerably for one of the reaction mechanisms. The automated processing of voltammograms according to the regression algorithms yields better results than the conventional analysis of peak-related data.<\/jats:p>\n          <\/jats:sec>","DOI":"10.1186\/1758-2946-6-30","type":"journal-article","created":{"date-parts":[[2014,5,28]],"date-time":"2014-05-28T01:02:48Z","timestamp":1401238968000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":26,"title":["Estimation of diffusion coefficients from voltammetric signals by support vector and gaussian process regression"],"prefix":"10.1186","volume":"6","author":[{"given":"Martin","family":"Bogdan","sequence":"first","affiliation":[]},{"given":"Dominik","family":"Brugger","sequence":"additional","affiliation":[]},{"given":"Wolfgang","family":"Rosenstiel","sequence":"additional","affiliation":[]},{"given":"Bernd","family":"Speiser","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2014,5,28]]},"reference":[{"key":"609_CR1","first-page":"706","volume-title":"Theory of stationary electrode polarography. 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