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Dae Il Kim
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2010 – 2019
- 2017
- [b1]Dae Il Kim:
Scalable Bayesian Nonparametric Models for Networks and Documents. Brown University, USA, 2017 - [j2]Dae Il Kim, Benjamin F. Swanson, Michael C. Hughes, Erik B. Sudderth:
Refinery: An Open Source Topic Modeling Web Platform. J. Mach. Learn. Res. 18: 12:1-12:5 (2017) - 2015
- [c4]Michael C. Hughes
, Dae Il Kim, Erik B. Sudderth:
Reliable and Scalable Variational Inference for the Hierarchical Dirichlet Process. AISTATS 2015 - 2013
- [c3]Dae Il Kim, Prem Gopalan, David M. Blei, Erik B. Sudderth:
Efficient Online Inference for Bayesian Nonparametric Relational Models. NIPS 2013: 962-970 - 2012
- [c2]Dae Il Kim, Michael C. Hughes, Erik B. Sudderth:
The Nonparametric Metadata Dependent Relational Model. ICML 2012 - 2011
- [c1]Dae Il Kim, Erik B. Sudderth:
The Doubly Correlated Nonparametric Topic Model. NIPS 2011: 1980-1988 - 2010
- [j1]Dae Il Kim, Jing Sui
, Srinivas Rachakonda, Tonya White
, Dara S. Manoach, Vincent P. Clark
, Beng-Choon Ho
, S. Charles Schulz, Vince D. Calhoun
:
Identification of Imaging Biomarkers in Schizophrenia: A Coefficient-constrained Independent Component Analysis of the Mind Multi-site Schizophrenia Study. Neuroinformatics 8(4): 213-229 (2010)
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last updated on 2024-04-24 22:54 CEST by the dblp team
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