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