2008 |
8 | EE | Kenichi Kurihara,
Tsuyoshi Murata,
Taisuke Sato:
Identification of MCMC Samples for Clustering.
LKR 2008: 27-37 |
7 | EE | Koji Tsuda,
Kenichi Kurihara:
Graph Mining with Variational Dirichlet Process Mixture Models.
SDM 2008: 432-442 |
2007 |
6 | EE | Kenichi Kurihara,
Max Welling,
Yee Whye Teh:
Collapsed Variational Dirichlet Process Mixture Models.
IJCAI 2007: 2796-2801 |
5 | EE | Yee Whye Teh,
Kenichi Kurihara,
Max Welling:
Collapsed Variational Inference for HDP.
NIPS 2007 |
4 | EE | Taisuke Sato,
Yoshitaka Kameya,
Kenichi Kurihara:
Variational Bayes via Propositionalization.
Probabilistic, Logical and Relational Learning - A Further Synthesis 2007 |
2006 |
3 | EE | Kenichi Kurihara,
Taisuke Sato:
Variational Bayesian Grammar Induction for Natural Language.
ICGI 2006: 84-96 |
2 | EE | Kenichi Kurihara,
Max Welling,
Nikos A. Vlassis:
Accelerated Variational Dirichlet Process Mixtures.
NIPS 2006: 761-768 |
1 | EE | Max Welling,
Kenichi Kurihara:
Bayesian K-Means as a "Maximization-Expectation" Algorithm.
SDM 2006 |