On-line learning in neural networks

Summary of contents

• On-line learning and stochastic approximations Leon Bottou
• Exact and perturbative solutions for the ensemble dynamics Todd Leen
• A statistical study of on-line learning Noboru Murata
• On-line learning in switching and drifting environments Klaus-Robert Mueller, Andreas Ziehe, Noboru Murata and Shun-ichi Amari
• Parameter adaptation in stochastic optimization Luis B
• Almeida, Thibault Langlois, Jos D
• Amaral and Alexander Plakhov
• Optimal on-line learning for multilayer neural networks David Saad and Magnus Rattray
• Universal asymptotics in committee machines with tree architecture Mauro Copelli and Nestor Caticha
• Incorporating curvature information in on-line learning Magnus Rattray and David Saad
• Annealed on-line learning in multilayer networks Siegfried Bss and Shun-ichi Amari
• On-line learning of prototypes and principal components Michael Biehl, Ansgar Freking, Matthias Hslzer, Georg Reents and Enno Schlssser
• On-line learning with time-correlated patterns Tom Heskes and Wim Wiegerinck
• On-line learning from finite training sets David Barber and Peter Sollich
• Dynamics of supervised learning with restricted training sets Anthony C
• C
• Coolen and David Saad
• On-line learning of a decision boundary with and without queries Yoshiyuki Kabashima and Shigeru Shinomoto
• A Bayesian approach to on-line learning Manfred Opper
• Optimal perceptron learning: an on-line Bayesian approach Sara A
• Solla and Ole Winther