Nieuwe applicaties in informatiebevraging, beeldverwerking en bio-informatica hebben geleid tot de ontwikkeling van nieuwe machine learning methoden om meerdere targets tegelijkertijd te voorspellen. Recent werden tal van nieuwe methoden ontwikkeld in ver

01 February 2015 → 30 November 2019
Regional and community funding: Special Research Fund
Research disciplines
  • Agricultural and food sciences
    • Agricultural animal production
    • Agricultural plant production
    • Agriculture, land and farm management
    • Other agriculture, forestry, fisheries and allied sciences
dependence exploitation
Project description

Modern applications in areas such as information retrieval, image analysis and computational biology have triggered a need for specialized machine learning methods that deliver joint predictions for multiple targets. Recently, new algorithms for multi-target prediction problems have been proposed in different subfields of machine learning, and most of the recent methods intend to exploit, in one way or another, dependencies between targets. The goal of this project is to elaborate on the idea of exploiting target dependence, thereby contributing to a better understanding of existing multi-target prediction methods.