Approximating The Hierarchical Dirichelet Distribution

Add to your list(s) Download to your calendar using vCal

• Phil Cowans
• Wednesday 16 March 2005, 15:00-16:00
• Ryle Seminar Room, Cavendish Laboratory.

If you have a question about this talk, please contact Phil Cowans.

This talk is very much a description of work in progress!

The hierarchical Dirichlet distribution is the finite equivalent of the hierarchical Dirichlet process and can be applied to similar problems in language modelling and information retrieval. One such application is sequence prediction, or deciding what comes next given a history of samples. For reasons which I will discuss, it appears reasonable to approximate the predictive distribution using an interpolated n-gram model with update exclusion, but the relationship between the two is not yet fully formalised. In this talk I’ll describe how far I’ve got with this problem and the main issues still to be resolved.

This talk is part of the Inference Group series.

This talk is included in these lists:

• All Cavendish Laboratory Seminars
• All Talks (aka the CURE list)
• Biology
• Cambridge Neuroscience Seminars
• Cambridge talks
• Centre for Health Leadership and Enterprise
• Chris Davis' list
• Featured lists
• Guy Emerson's list
• Hanchen DaDaDash
• Inference Group
• Inference Group Summary
• Interested Talks
• Joint Machine Learning Seminars
• Life Science
• Life Sciences
• ME Seminar
• ML
• Machine Learning Summary
• Neurons, Fake News, DNA and your iPhone: The Mathematics of Information
• Neuroscience
• Neuroscience Seminars
• Neuroscience Seminars
• Required lists for MLG
• Ryle Seminar Room, Cavendish Laboratory
• School of Physical Sciences
• Stem Cells & Regenerative Medicine
• Thin Film Magnetic Talks
• dh539
• kt532's list
• rp587
• yk373's list

Note that ex-directory lists are not shown.