… We suggest the use of argument based machine learning (ABML) to deal with this problem…
learning with explanations provided by domain experts. An ABML method is required to learn …

… machine learning (ABML) knowledge refinement loop for the purpose of designing an
interactive teaching tool. In particular, we intend to demonstrate the use of ABML knowledge …

… ABML, arguments are typically used as a means for users (eg domain experts, students) to
elicit some of their knowledge by explaining the learning … in the ABML knowledge refinement …

… machine learning from examples. Whereas the ABML learning method has been described
elsewhere, in this paper we concentrate on detailed mechanisms of the ABML knowledge …

… We used ABML to learn a diagnostic model for distinguishing between different types of
tremor in patients with a neurological disease [7]. The patients were classified as essential …

… Summarizing, in this thesis, methods are developed for continuous learning, for learning new
object categories using limited data, and for explaining … 1.1 Machine learning and robotics …

… • We propose, demonstrate and evaluate a novel approach to ABML based on regression …
the first application of ABML to regression problems or the decision tree learning method. • We …

… ABML (Argument Based Machine Learning). The paper demonstrates ABML’s advantage in
combining machine learning … ABML guides the expert to explain critical special cases which …

… to cross-media learning based on argument based machine learning (ABML). ABML is a
recent method that combines argumentation and machine learning from examples, and its main …

… In this paper we realize the idea of ABML as rule learning. … In ABML, some of the learning
examples are augmented by … we consider ABML in the framework of attribute-value learning. …