arXiv · 1207.4131
Exponential Families for Conditional Random Fields
Abstract
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.
Explore related subjects
Keep this discovery
Yasemin Altun, Alex Smola, Thomas Hofmann. 2012-07-11. Exponential Families for Conditional Random Fields. https://arxiv.org/abs/1207.4131
Cite the original work for its findings. Save a collection to share your selection of sources.