Semi-Supervised Learning: From Gaussian Fields to Gaussian Processes (2003)
by
Xiaojin Zhu
,
John Lafferty
,
Zoubin Ghahramani
| Venue: | School of CS, CMU |
| Citations: | 25 - 1 self |
BibTeX
@TECHREPORT{Zhu03semi-supervisedlearning:,
author = {Xiaojin Zhu and John Lafferty and Zoubin Ghahramani},
title = {Semi-Supervised Learning: From Gaussian Fields to Gaussian Processes},
institution = {School of CS, CMU},
year = {2003}
}
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Abstract
We show that the Gaussian random fields and harmonic energy minimizing function framework for semi-supervised learning can be viewed in terms of Gaussian processes, with covariance matrices derived from the graph Laplacian. We derive hyperparameter learning with evidence maximization, and give an empirical study of various ways to parameterize the graph weights.
Citations
| 354 | Graphical Models in Applied Multivariate Statistics - Whittaker - 2009 |
| 180 | On kernel-target alignment - Cristianini, Shawe-taylor, et al. - 2001 |
| 134 | Learning with Labelled and Unlabelled Data - Seeger - 2001 |
| 120 | Cluster Kernels for Semi-Supervised Learning - Chapelle, Weston, et al. |
| 118 | Kernels and regularization on graphs - Smola, Kondor - 2003 |
| 84 | Introduction to gaussian processes - MacKay - 1998 |
| 79 | Bayesian Gaussian Process for Regression and Classification - Gibbs - 1997 |
| 16 | Bayesian classi with Gaussian processes - Williams, Barber - 1998 |
| 6 | Learning Kernel Classi - Herbrich - 2001 |
| 2 | Niyogi P: Using manifold structure for partially labeled classification - Belkin - 2003 |
| 1 | Belkin and Partha Niyogi. Semi-supervised learning on manifolds - Mikhail - 2002 |
| 1 | Szummer and Tommi Jaakkola. Partially labeled classi with Markov random walks - Martin |
| 1 | Semi-supervised learning using Gaussian and harmonic functions - Zhu, Ghahramani, et al. - 2003 |
