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Machine Learning Markets

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If you have a question about this talk, please contact Zoubin Ghahramani.

In this talk I will discuss a number of things I think are stumbling blocks to progress in machine learning and issues in Bayesian modelling. I will introduce the idea of machine learning markets, along with some of the developments that result from this basic idea. Machine learning markets involve extending prediction market mechanisms for doing machine learning. One result of this is that implicit probabilistic models can be defined that reproduce and extend some of the standard ways of combining machine learning components together. I will give some of the basic introductory concepts in machine learning markets, and some empirical results on standard machine learning problems. I will try to indicate why I think machine learning markets provide a promising addition to the machine learning process.

This talk is part of the Machine Learning @ CUED series.

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