July - December 1997
Organisers: C M Bishop (Aston), D Haussler (UCSC), G E Hinton (Toronto), M Niranjan (Cambridge), L G Valiant (Harvard)
On-line learning is one of the most commonly used techniques for training neural networks, especially for large systems and non-stationary tasks, and has been used successfully in many real-world applications.
This themed week is aimed at bringing together researchers from different disciplines with a common interest in the field of on-line learning, and at contrasting theoretical results obtained by different techniques with practical methods and observations.
It will provide a comprehensive view on recent developments and is aimed at research scientists at postdoctoral level and beyond, though it will also be accessible to advanced graduate students working in the area.
The full programme is available here
Registration: Since the week falls during the Cambridge academic term, the Newton Institute will unfortunately not be able to provide any assistance with accommodation. Participants must therefore make their own arrangements for accommodation and evening meals. However, light lunches will be available for purchase in the Institute.
This workshop will form a component of the Newton Institute programme on Neural Networks and Machine Learning, organised by C M Bishop, D Haussler, G E Hinton, M Niranjan and L G Valiant.