Now showing items 1-4 of 4

  • Experiment databases: A new way to share, organize and learn from experiments

    Vanschoren, Joaquin; Blockeel, Hendrik; Pfahringer, Bernhard; Holmes, Geoffrey (Springer, 2012)
    Thousands of machine learning research papers contain extensive experimental comparisons. However, the details of those experiments are often lost after publication, making it impossible to reuse these experiments in further ...
  • Experiment Databases: Creating a New Platform for Meta-Learning Research

    Vanschoren, Joaquin; Blockeel, Hendrik; Pfahringer, Bernhard; Holmes, Geoffrey (University of Porto, 2008)
    Many studies in machine learning try to investigate what makes an algorithm succeed or fail on certain datasets. However, the field is still evolving relatively quickly, and new algorithms, preprocessing methods, learning ...
  • Experiments in Predicting Biodegradability

    Blockeel, Hendrik; Džeroski, Sašo; Kompare, Boris; Kramer, Stefan; Pfahringer, Bernhard; Van Laer, Wim (Taylor & Francis, 2004)
    This paper is concerned with the use of AI techniques in ecology. More specifically, we present a novel application of inductive logic programming (ILP) in the area of quantitative structure-activity relationships (QSARs). ...
  • Organizing the World’s Machine Learning Information

    Vanschoren, Joaquin; Blockeel, Hendrik; Pfahringer, Bernhard; Holmes, Geoffrey (Springer, 2009)
    All around the globe, thousands of learning experiments are being executed on a daily basis, only to be discarded after interpretation. Yet, the information contained in these experiments might have uses beyond their ...