A Review of the Fourteenth International Conference on Machine Learning

Article type: Research Article

Authors: Frey, Lewis^{; *} | Li, Cen^{; 1} | Talbert, Douglas^{; 2} | Fisher, Doug^{; 3}

Affiliations: Department of Computer Science, Vanderbilt University, Nashville, TN 37235, USA

Correspondence: [*] Corresponding author. URL: http://cswww.vuse.vanderbilt.edu/~frey/.

Note: [1] URL: http://cswww.vuse.vanderbilt.edu/~cenli/.

Note: [2] URL: http://cswww.vuse.vanderbilt.edu/~dat/.

Note: [3] URL: http://cswww.vuse.vanderbilt.edu/~dfisher/.

Abstract: We briefly review each paper of the Fourteenth International Conference on Machine Learning, along with some general observations on the conference as a whole. The major topics of papers include data reduction, feature selection, ensembles of classifiers, natural language learning, text categorization, inductive logic programming, stochastic models, and reinforcement learning.

Keywords: Inductive concept learning, Ensembles, Natural language learning, Inductive logic programming, Stochastic models, Reinforcement learning

DOI: 10.3233/IDA-1998-2307

Journal: Intelligent Data Analysis, vol. 2, no. 3, pp. 245-255, 1998