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
  
• Foster J. Provost, John M. Aronis:
  Scaling Up Inductive Learning with Massive Parallelism. 33-46
  
• H. Altay Güvenir, Izzet Sirin:
  Classification by Feature Partitioning. 47-67
  
• Gerhard Widmer, Miroslav Kubat:
  Learning in the Presence of Concept Drift and Hidden Contexts. 69-101
  
• Michael J. Pazzani:
  Review of "Inductive Logic Programming: Techniques and Applications" by Nada Lavrac, Saso Dzeroski. 103-108
  
• Nada Lavrac, Saso Dzeroski:
  A Reply to Pazzani's Book Review of "Inductive Logic Programming: Techniques and Applications". 109-111
  

Volume 23, Numbers 2-3, May 1996

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

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