Now showing items 1-3 of 3

  • Applying propositional learning algorithms to multi-instance data

    Frank, Eibe; Xu, Xin (University of Waikato, Department of Computer Science, 2003-06)
    Multi-instance learning is commonly tackled using special-purpose algorithms. Development of these algorithms has started because early experiments with standard propositional learners have failed to produce satisfactory ...
  • Logistic regression and boosting for labeled bags of instances

    Xu, Xin; Frank, Eibe (Springer, 2004)
    In this paper we upgrade linear logistic regression and boosting to multi-instance data, where each example consists of a labeled bag of instances. This is done by connecting predictions for individual instances to a ...
  • Statistical Learning in Multiple Instance Problems

    Xu, Xin (The University of Waikato, 2003)
    Multiple instance (MI) learning is a relatively new topic in machine learning. It is concerned with supervised learning but differs from normal supervised learning in two points: (1) it has multiple instances in an example ...

Xin Xu has 1 co-authors in Research Commons.