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Abstract: We consider the problem of assigning an input vector x to one of m classes by predicting P (cjx) for c = 1; : : : ; m. For a two-class problem, the probability of class 1 given x is estimated by oe(y(x)), where oe(y) = 1=(1 + e ). A Gaussian process prior is placed on y(x), and is combined with the training data to obtain predictions for new x points. (Update)
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BibTeX entry: (Update)
C. K. I. Williams and D. Barber, Bayesian Classification with Gaussian Processes, IEEE Trans Pattern Analysis and Machine Intelligence , 20 13421351, (1998). http://citeseer.ist.psu.edu/williams98bayesian.html More
@article{ williams98bayesian,
author = "Christopher K. I. Williams and David Barber",
title = "Bayesian Classification With Gaussian Processes",
journal = "IEEE Transactions on Pattern Analysis and Machine Intelligence",
volume = "20",
number = "12",
pages = "1342-1351",
year = "1998",
url = "citeseer.ist.psu.edu/williams98bayesian.html" }
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