Estimating Average-Case Learning Curves Using Bayesian, Statistical Physics and VC Dimension Methods

Haussler, David, Kearns, Michael, Opper, Manfred, Schapire, Robert

Dec-31-1992–Neural Information Processing Systems

In this paper we investigate an average-case model of concept learning, and give results that place the popular statistical physics and VC dimension theories of learning curve behavior in a common framework.

algorithm, artificial intelligence, machine learning, (15 more...)

Neural Information Processing Systems

Dec-31-1992

Conferences PDF

Country:
- North America > United States > California > Santa Cruz County > Santa Cruz (0.14)

Technology:
- Information Technology > Artificial Intelligence > Machine Learning > Computational Learning Theory (1.00)

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Estimating Average-Case Learning Curves Using Bayesian, Statistical Physics and VC Dimension Methods
Estimating Average-Case Learning Curves Using Bayesian, Statistical Physics and VC Dimension Methods

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