arXiv:1207.4131 [cs.LG]AbstractReferencesReviewsResources
Exponential Families for Conditional Random Fields
Yasemin Altun, Alex Smola, Thomas Hofmann
Published 2012-07-11Version 1
In this paper we de ne conditional random elds in reproducing kernel Hilbert spaces and show connections to Gaussian Process classi cation. More speci cally, we prove decomposition results for undirected graphical models and we give constructions for kernels. Finally we present e cient means of solving the optimization problem using reduced rank decompositions and we show how stationarity can be exploited e ciently in the optimization process.
Comments: Appears in Proceedings of the Twentieth Conference on Uncertainty in Artificial Intelligence (UAI2004)
Keywords: conditional random fields, exponential families, ne conditional random elds, gaussian process classi cation, reproducing kernel hilbert spaces
Tags: conference paper
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