P. D. Hoff A. E. / M. Stephens N. A. / M. S. Handcock A. E. / /
Country
Jordan / / /
Facility
Princeton University / Cornell University / Lewis-Sigler Institute / Munich Institute of Protein Sequencing / /
IndustryTerm
observed physical interaction network / na¨ıve algorithm / protein interaction networks / variational inference algorithm / friendship network / protein networks / image processing / nested variational inference algorithm / large networks / gene regulatory networks / closed form solution / estimated protein interaction networks / asymmetric interaction networks / na¨ıve variational algorithm / web-pages / social networks / /
Organization
Lewis-Sigler Institute / School of Computer Science / Royal Statistical Society / American Statistical Association / Department of Computer Science / Munich Institute of Protein Sequencing / Department of Statistics / Princeton University / Carnegie Mellon University / Cornell University / /
Person
Gregory / P. Doreian / V / John / Eric P. Xing / David M. Blei / John Bosco / Sampson / Stephen E. Fienberg / /
Position
Bayesian hierarchical model for learning natural scene categories / /
Product
Pentax K-x Digital Camera / /
ProvinceOrState
Manitoba / /
PublishedMedium
American Journal of Human Genetics / Journal of the Royal Statistical Society / Machine Learning / Journal of Machine Learning Research / Journal of the American Statistical Association / Lecture Notes in Computer Science / /
Mixed Membership Stochastic Blockmodels Edoardo M. Airoldi 1,2 , David M. Blei 1 , Stephen E. Fienberg 3,4 & Eric P. Xing 4∗ 1 Department of Computer Science, 2 Lewis-Sigler Institute, Princeton University 3