Machine Learning, Volume 23, 1996

Volume 23, Number 1, April 1996

• Paolo Frasconi, Marco Gori, Marco Maggini, Giovanni Soda: Representation of Finite State Automata in Recurrent Radial Basis Function Networks. 5-32 BibTeX
• Foster J. Provost, John M. Aronis: Scaling Up Inductive Learning with Massive Parallelism. 33-46 BibTeX
• H. Altay Güvenir, Izzet Sirin: Classification by Feature Partitioning. 47-67 BibTeX
• Gerhard Widmer, Miroslav Kubat: Learning in the Presence of Concept Drift and Hidden Contexts. 69-101 BibTeX
• Michael J. Pazzani: Review of ``Inductive Logic Programming: Techniques and Applications'' by Nada Lavrac, Saso Dzeroski. 103-108 BibTeX
• Nada Lavrac, Saso Dzeroski: A Reply to Pazzani's Book Review of ``Inductive Logic Programming: Techniques and Applications''. 109-111 BibTeX

Volume 23, Numbers 2-3, May 1996

• Scott Bennett, Gerald DeJong: Real-World Robotics: Learning to Plan for Robust Execution. 121-161 BibTeX
• Holger Friedrich, Stefan Münch, Rüdiger Dillmann, Siegfried Bocionek, Michael Sassin: Robot Programming by Demonstration (RPD): Supporting the Induction by Human Interaction. 163-189 BibTeX
• Peter C. Y. Chen, James K. Mills, Kenneth C. Smith: Performance Improvement of Robot Continuous-Path Operation through Iterative Learning Using Neural Networks. 191-220 BibTeX
• Cristina Baroglio, Attilio Giordana, Roberto Piola, Michael Kaiser, Marnix Nuttin: Learning Controllers for Industrial Robots. 221-249 BibTeX
• Marcos Salganicoff, Lyle H. Ungar, Ruzena Bajcsy: Active Learning for Vision-Based Robot Grasping. 251-278 BibTeX
• Minoru Asada, Shoichi Noda, Sukoya Tawaratsumida, Koh Hosoda: Purposive Behavior Acquisition for a Real Robot by Vision-Based Reinforcement Learning. 279-303 BibTeX
• Volker Klingspor, Katharina Morik, Anke D. Rieger: Learning Concepts from Sensor Data of a Mobile Robot. 305-332 BibTeX