C4.5: Programs for Machine Learning

J. Ross Quinlan

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 ...

Data Mining: Practical Machine Learning Tools and Techniques with Java Implementations

Ian H. Witten, Eibe Frank

Morgan Kaufmann, 1999

Support Vector Machine Active Learning with Application sto Text Classification

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 ...

Computer Systems That Learn: Classification and Prediction Methods from Statistics, Neural Nets, Machine Learning and Expert Systems

Sholom M. Weiss, Casimir A. Kulikowski

Morgan Kaufmann, 1990

Correlation-based Feature Selection for Discrete and Numeric Class Machine Learning

Mark A. Hall

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 ...

A Machine Learning Approach to Building Domain-Specific Search Engines

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, ...

Elements of Machine Learning

Pat Langley

Morgan Kaufmann, 1994

A General Method for Scaling Up Machine Learning Algorithms and its Application to Clustering

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 ...

Machine Learning: A Theoretical Approach

Balas K. Natarajan

Morgan Kaufmann, 1991

Structural Machine Learning with Galois Lattice and Graphs

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 ...