Gaussian Process Classiication and Svm: Mean Field Results and Leave-one-out Estimator

@inproceedings{Opper2007GaussianPC,
  title={Gaussian Process Classiication and Svm: Mean Field Results and Leave-one-out Estimator},
  author={Manfred Opper and Ole Winther},
  year={2007}
}
In this chapter, we elaborate on the well-known relationship between Gaussian Processes (GP) and Support Vector Machines (SVM). Secondly, we present approximate solutions for two computational problems arising in GP and SVM. The rst one is the calculation of the posterior mean for GP classiiers using a `naive' mean eld approach. The second one is a leave-one-out estimator for the generalization error of SVM based on a linear response method. Simulation results on a benchmark dataset show… CONTINUE READING
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