Analysis of Chromatographic Data using the Probabilistic PARAFAC2
| Autor: | Philip Johan Havemann Jørgensen, Nielsen, Søren F. V., Jesper Løve Hinrich, Mikkel N. Schmidt, Kristoffer Hougaard Madsen, Morten Mørup |
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| Zdroj: | Technical University of Denmark Orbit Jørgensen, P J H, Nielsen, S F V, Hinrich, J L, Schmidt, M N, Madsen, K H & Mørup, M 2019, Analysis of Chromatographic Data using the Probabilistic PARAFAC2 . in Proceedings of Second Workshop on Machine Learning and the Physical Sciences . 33rd Conference on Neural Information Processing Systems, Vancouver, Canada, 08/12/2019 . |
| Popis: | PARAFAC2 is a widely applicable method often used for analyzing multi-way chromatographic data. We recently proposed a probabilistic framework for PARAFAC2[1]. The probabilistic formulations allow for a principled way of determining the number of latent components as well as modeling heteroscedastic noise. In this work we present a summary of the probabilistic PARAFAC2 models and their properties by revisiting the previous results of the analyzed data sets in a concise fashion. |
| Databáze: | OpenAIRE |
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