Latent Force Models with Gaussian Processes

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

• Dr Neil Lawrence (University of Manchester)
• Monday 01 March 2010, 11:00-12:00
• TCM Seminar Room, Cavendish Laboratory, Department of Physics.

If you have a question about this talk, please contact Carl Scheffler.

Physics based approaches to data modeling involve constructing an accurate mechanistic model of data, often based on differential equations. Machine learning approaches are typically data driven—-perhaps through regularized function approximation.

These two approaches to data modeling are often seen as polar opposites, but in reality they are two different ends to a spectrum of approaches we might take.

In this talk we introduce latent force models. Latent force models are a new approach to data representation that model data through unknown forcing functions that drive differential equation models. By treating the unknown forcing functions with Gaussian process priors we can create probabilistic models that exhibit particular physical characteristics of interest, for example, in dynamical systems resonance and inertia. This allows us to perform a synthesis of the data driven and physical modeling paradigms. We will show applications of these models in systems biology and modelling of human motion capture data.

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
• School of Physical Sciences
• Stem Cells & Regenerative Medicine
• TCM Seminar Room, Cavendish Laboratory, Department of Physics
• Thin Film Magnetic Talks
• dh539
• kt532's list
• rp587
• yk373's list

Note that ex-directory lists are not shown.