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5 papers · 1 filter
Are Extreme Value Estimation Methods Useful for Network Data?
Phyllis Wan, Tiandong Wang, Richard A. Davis +1
Preferential attachment is an appealing edge generating mechanism for modeling social networks. It provides both an intuitive description of network growth and an explanation for t…
Blood-based metabolic signatures in Alzheimer's disease
Francisca A. de Leeuw, Carel F. W. Peeters, Maartje I. Kester +11
Introduction: Identification of blood-based metabolic changes might provide early and easy-to-obtain biomarkers. Methods: We included 127 AD patients and 121 controls with CSF-biom…
An impossibility theorem for Parameter Independent hidden variable theories
Gijs Leegwater
Recently, Roger Colbeck and Renato Renner (C&R) have claimed that '[n]o extension of quantum theory can have improved predictive power'. If correct, this is a spectacular impossibi…
Label Stability in Multiple Instance Learning
Veronika Cheplygina, Lauge Sørensen, David M. J. Tax +2
We address the problem of \emph{instance label stability} in multiple instance learning (MIL) classifiers. These classifiers are trained only on globally annotated images (bags), b…
Multi-objective minmax robust combinatorial optimization with cardinality-constrained uncertainty
Andrea Raith, Marie Schmidt, Anita Schöbel +1
In this paper we develop two approaches to find minmax robust efficient solutions for multi-objective combinatorial optimization problems with cardinality-constrained uncertainty.…