16 citations · 38 across the 11 of their papers we have counts for
3 papers · 1 filter
Continuous Sweep for Binary Quantification Learning
Kevin Kloos, Julian D. Karch, Quinten A. Meertens +1
A quantifier is a supervised machine learning algorithm, focused on estimating the class prevalence in a dataset rather than labeling its individual observations. We introduce Cont…
Imputation of missing values in multi-view data
Wouter van Loon, Marjolein Fokkema, Frank de Vos +3
Data for which a set of objects is described by multiple distinct feature sets (called views) is known as multi-view data. When missing values occur in multi-view data, all feature…
View selection in multi-view stacking: Choosing the meta-learner
Wouter van Loon, Marjolein Fokkema, Botond Szabo +1
Multi-view stacking is a framework for combining information from different views (i.e. different feature sets) describing the same set of objects. In this framework, a base-learne…