Editorial
With this issue, Machine Learning begins publishing an issue every month—12 issues per year. This 50% increase in issues reflects the continuing increase in the number and quality of submissions to the journal. The excitement being generated by machine learning methods can be observed in artificial intelligence meetings worldwide. Points of contact are also being made with several different communities, including the logic programming community, through inductive logic programming; the database community, through knowledge discovery in databases; the uncertain reasoning community, through induction of Bayesian influence diagrams; and the statistical and neural network communities, through our shared interest in fitting complex models to large amounts of data. As always, the journal seeks to provide a forum for the best current research in all areas of machine learning. In this regard, I want to thank Jack Mostow for his service as an Action Editor for the past three years. As a very conscientious editor, Jack worked hard to produce excellent articles for the journal. I am pleased to note that Ross Quinlan has again taken on the responsibilities of an Action Editor for the journal. We also welcome two new members of the editorial board, Alberto Segre (who is also Book Review Editor) and Jeff Schlimmer. Finally, I want to thank the Executive Editor of the past four years, Jaime Carbonell, for his wonderful efforts to make the journal a high quality publication with a broad scope. He recruited editors for several special issues on a wide range of topics, and nurtured the issues through the difficult review process. Several of these special issues have already appeared, but several more will appear in the coming months.