A Review of the Fourteenth International Conference on Machine Learning

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.