Exponential Families for Conditional Random Fields
Yasemin Altun, Alex Smola and Thomas Hofmann
In: Uncertainty in Artificial Intelligence, Jul 2004, Banff.

Abstract

In this paper we define conditional random fields in Hilbert space and we show connections to Gaussian Process classification. More specifically, we prove decomposition results for undirected graphical models and we give constructions for kernels. Finally we present efficient means of solving the optimization problem using reduced rank decompositions and we show how stationarity can be exploited efficiently in the optimization process.

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