Morgan Kaufmann, 1993
Classifier systems play a major role in machine learning and knowledge-based systems, and Ross Quinlan's work on ID3 and C4.5 is widely acknowledged ...
Ian H. Witten, Eibe Frank
Morgan Kaufmann, 1999
Simon Tong, Daphne Koller
17th International Conference on Machine Learning, 2000 – ICML
Support vector machines have met with significant success in numerous real-world learning tasks. However, like most machine learning algorithms, they ...
Sholom M. Weiss, Casimir A. Kulikowski
Morgan Kaufmann, 1990
17th International Conference on Machine Learning, 2000 – ICML
Algorithms for feature selection fall into two broad categories: wrappers that use the learning algorithm itself to evaluate the usefulness of ...
Andrew McCallum, Kamal Nigam, Jason Rennie, Kristie Seymore
Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence, IJCAI 99, 1999 – IJCAI
Domain-specific search engines are becoming increasingly popular because they offer increased accuracy and extra features not possible with general, ...
Pedro Domingos, Geoff Hulten
18th International Conference on Machine Learning, 2001 – ICML
We propose to scale learning algorithms to arbitrarily large databases by the following method. First derive an upper bound for the learner's ...
Morgan Kaufmann, 1991
Michel Liquiere, Jean Sallantin
15th International Conference on Machine Learning, 1998 – ICML
This paper defines a formal approach to learning from examples described by labelled graphs. We propose a formal model based upon lattice theory and ...