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- Journal Article
- A1
- open access
Data driven prediction of dairy cattle lifetime production and its use as a guideline to select surplus youngstock
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Probabilistic modelling of the hydrodynamic properties of a bioreactor for mAb production
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Integrating expert and novice evaluations for augmenting ordinal regression models
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Predicting consumer acceptance of packaged meat using L1-regularized ordinal regression
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A search grid for parameter optimization as a byproduct of model sensitivity analysis
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An interval estimator for the unmixing of mixtures with set-based source descriptions
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- PhD Thesis
- open access
Mathematical optimization methods for the analysis of compositional data: subset selection, unmixing and prediction
(2014) -
Learning partial ordinal class memberships with kernel-based proportional odds models
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Learning ordinal partial class memberships with kernel-based proportional odds models