2 citations · 3 across the 2 of their papers we have counts for
3 papers
cs.CL2017
Optimizing for Measure of Performance in Max-Margin Parsing
Alexander Bauer, Shinichi Nakajima, Nico Görnitz +1
Many statistical learning problems in the area of natural language processing including sequence tagging, sequence segmentation and syntactic parsing has been successfully approach…
cs.DS2017★ 2 cited
Partial Optimality of Dual Decomposition for MAP Inference in Pairwise MRFs
Alexander Bauer, Shinichi Nakajima, Nico Görnitz +1
Markov random fields (MRFs) are a powerful tool for modelling statistical dependencies for a set of random variables using a graphical representation. An important computational pr…
stat.ME2012★ 1 cited
Pair-copula Bayesian networks
Alexander Bauer, Claudia Czado
Pair-copula Bayesian networks (PCBNs) are a novel class of multivariate statistical models, which combine the distributional flexibility of pair-copula constructions (PCCs) with th…