 | 2010 |
|---|
| 9 |       | Keisuke Yamazaki,
Miki Aoyagi,
Sumio Watanabe:
Asymptotic analysis of Bayesian generalization error with Newton diagram.
Neural Networks 23(1): 35-43 (2010) |
| 2008 |
|---|
| 8 | | Keisuke Yamazaki,
Samuel Kaski:
An Analysis of Generalization Error in Relevant Subtask Learning.
ICONIP (1) 2008: 629-637 |
| 2007 |
|---|
| 7 | | Keisuke Yamazaki,
Motoaki Kawanabe,
Sumio Watanabe,
Masashi Sugiyama,
Klaus-Robert Müller:
Asymptotic Bayesian generalization error when training and test distributions are different.
ICML 2007: 1079-1086 |
| 6 | | Keisuke Yamazaki,
Sumio Watanabe:
Experimental Bayesian Generalization Error of Non-regular Models under Covariate Shift.
ICONIP (1) 2007: 466-476 |
| 2006 |
|---|
| 5 | | Keisuke Yamazaki,
Kenji Nagata,
Sumio Watanabe,
Klaus-Robert Müller:
A Model Selection Method Based on Bound of Learning Coefficient.
ICANN (2) 2006: 371-380 |
| 2005 |
|---|
| 4 | | Keisuke Yamazaki,
Sumio Watanabe:
Algebraic geometry and stochastic complexity of hidden Markov models.
Neurocomputing 69(1-3): 62-84 (2005) |
| 2004 |
|---|
| 3 | | Keisuke Yamazaki,
Sumio Watanabe:
Newton Diagram and Stochastic Complexity in Mixture of Binomial Distributions.
ALT 2004: 350-364 |
| 2003 |
|---|
| 2 |  | Keisuke Yamazaki,
Sumio Watanabe:
Stochastic Complexity of Bayesian Networks.
UAI 2003: 592-599 |
| 1 | | Keisuke Yamazaki,
Sumio Watanabe:
Singularities in mixture models and upper bounds of stochastic complexity.
Neural Networks 16(7): 1029-1038 (2003) |
