2.1k citations · 3.7k across the 3 of their papers we have counts for
3 papers
cs.LG2013★ 2.1k cited
Probabilistic Latent Semantic Analysis
Thomas Hofmann
Probabilistic Latent Semantic Analysis is a novel statistical technique for the analysis of two-mode and co-occurrence data, which has applications in information retrieval and fil…
cs.LG2012★ 1 cited
Exponential Families for Conditional Random Fields
Yasemin Altun, Alex Smola, Thomas Hofmann
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…
math.ST2007★ 1.6k cited
Kernel methods in machine learning
Thomas Hofmann, Bernhard Schölkopf, Alexander J. Smola
We review machine learning methods employing positive definite kernels. These methods formulate learning and estimation problems in a reproducing kernel Hilbert space (RKHS) of fun…