14 citations · 39 across the 9 of their papers we have counts for
3 papers · 1 filter
Discriminative Subspace Emersion from learning feature relevances across different populations
Marco Canducci, Lida Abdi, Alessandro Prete +4
In a given classification task, the accuracy of the learner is often hampered by finiteness of the training set, high-dimensionality of the feature space and severe overlap between…
Structure is information: structural identifiability mappings for machine learning with partially observed dynamical systems
Janis Norden, Elisa Oostwal, Michael Chappell +2
The successful application of modern machine learning for time series classification is often hampered by limitations in quality and quantity of available training data. To overcom…
Feature Relevance Determination for Ordinal Regression in the Context of Feature Redundancies and Privileged Information
Lukas Pfannschmidt, Jonathan Jakob, Fabian Hinder +3
Advances in machine learning technologies have led to increasingly powerful models in particular in the context of big data. Yet, many application scenarios demand for robustly int…