Large Scale Bayesian Learning with the Subspace EM Algorithm



Keywordssparseness, kernel regression, Gaussian processes, expectation-maximization (EM) algorithm, active learning, linear models, bayesian techniques, the Relevance Vector Machines (RVM)
TypeJournal paper [Submitted]
JournalJournal of Machine Learning Research
Year2002
BibTeX data [bibtex]
IMM Group(s)Intelligent Signal Processing