The fifth international conference on machine learning
Usama M. Fayyad, John E. Laird, Keki B. Irani · AI Magazine · 1989
he conference attracted 320 attendees from over 90 different academic, industrial, and government institutions. Of the 150 papers submitted, 49 were accepted for publication in the conference proceedings (available from Morgan Kaufmann). Of the 49 papers, 20 were presented in three days of plenary sessions during the conference, with the remainder presented at a poster session. Three invited talks were included that reviewed important subfields of machine learning: genetic algorithms, connectionist learning, and formal models of learning. The conference also featured discussion sessions on topics of particular interest to subgroups of the attendees. The discussion topics covered empirical approaches to learning, the sharing of machine-learning data and programs, explanation-based learning, and genetic algorithms. In addition, two receptions were held to provide further opportunity for interaction among conference attendees. The conference was supported by registration fees and grants from the Office of Naval Research (ONR) Computer Sciences Division, the ONR Cognitive Science Program, and the American Association for Artificial Intelligence.