Book contents
- Frontmatter
- Contents
- Acknowledgements
- List of contributors
- Foreword
- 1 Introduction
- 2 On-line Learning and Stochastic Approximations
- 3 Exact and Perturbation Solutions for the Ensemble Dynamics
- 4 A Statistical Study of On-line Learning
- 5 On-line Learning in Switching and Drifting Environments with Application to Blind Source Separation
- 6 Parameter Adaptation in Stochastic Optimization
- 7 Optimal On-line Learning in Multilayer Neural Networks
- 8 Universal Asymptotics in Committee Machines with Tree Architecture
- 9 Incorporating Curvature Information into On-line Learning
- 10 Annealed On-line Learning in Multilayer Neural Networks
- 11 On-line Learning of Prototypes and Principal Components
- 12 On-line Learning with Time-Correlated Examples
- 13 On-line Learning from Finite Training Sets
- 14 Dynamics of Supervised Learning with Restricted Training Sets
- 15 On-line Learning of a Decision Boundary with and without Queries
- 16 A Bayesian Approach to On-line Learning
- 17 Optimal Perceptron Learning: an On-line Bayesian Approach
4 - A Statistical Study of On-line Learning
Published online by Cambridge University Press: 28 January 2010
Edited by
Book contents
- Frontmatter
- Contents
- Acknowledgements
- List of contributors
- Foreword
- 1 Introduction
- 2 On-line Learning and Stochastic Approximations
- 3 Exact and Perturbation Solutions for the Ensemble Dynamics
- 4 A Statistical Study of On-line Learning
- 5 On-line Learning in Switching and Drifting Environments with Application to Blind Source Separation
- 6 Parameter Adaptation in Stochastic Optimization
- 7 Optimal On-line Learning in Multilayer Neural Networks
- 8 Universal Asymptotics in Committee Machines with Tree Architecture
- 9 Incorporating Curvature Information into On-line Learning
- 10 Annealed On-line Learning in Multilayer Neural Networks
- 11 On-line Learning of Prototypes and Principal Components
- 12 On-line Learning with Time-Correlated Examples
- 13 On-line Learning from Finite Training Sets
- 14 Dynamics of Supervised Learning with Restricted Training Sets
- 15 On-line Learning of a Decision Boundary with and without Queries
- 16 A Bayesian Approach to On-line Learning
- 17 Optimal Perceptron Learning: an On-line Bayesian Approach
Summary
A summary is not available for this content so a preview has been provided. Please use the Get access link above for information on how to access this content.
- Type
- Chapter
- Information
- On-Line Learning in Neural Networks , pp. 63 - 92Publisher: Cambridge University PressPrint publication year: 1999
- 10
- Cited by