Keisuke Yamazaki
Title
Cited by
Cited by
Year
Singularities in mixture models and upper bounds of stochastic complexity
K Yamazaki, S Watanabe
Neural networks 16 (7), 1029-1038, 2003
1232003
Algebraic geometry and stochastic complexity of hidden Markov models
K Yamazaki, S Watanabe
Neurocomputing 69 (1-3), 62-84, 2005
382005
Stochastic complexity of Bayesian networks
K Yamazaki, S Watanbe
arXiv preprint arXiv:1212.2511, 2012
372012
Mathematical theory of Bayesian statistics
S Watanabe
CRC Press, 2018
342018
Singularities in complete bipartite graph-type boltzmann machines and upper bounds of stochastic complexities
K Yamazaki, S Watanabe
IEEE transactions on neural networks 16 (2), 312-324, 2005
292005
Asymptotic bayesian generalization error when training and test distributions are different
K Yamazaki, M Kawanabe, S Watanabe, M Sugiyama, KR Müller
Proceedings of the 24th international conference on Machine learning, 1079-1086, 2007
282007
Kullback information of normal mixture is not an analytic function
S Watanabe
IEICE Technical Report 2004, 41-46, 2004
282004
Stochastic complexities of hidden Markov models
K Yamazaki, S Watanabe
2003 IEEE XIII Workshop on Neural Networks for Signal Processing (IEEE Cat …, 2003
222003
Newton diagram and stochastic complexity in mixture of binomial distributions
K Yamazaki, S Watanabe
International Conference on Algorithmic Learning Theory, 350-364, 2004
192004
Asymptotic analysis of Bayesian generalization error with Newton diagram
K Yamazaki, M Aoyagi, S Watanabe
Neural Networks 23 (1), 35-43, 2010
182010
Asymptotic accuracy of distribution-based estimation of latent variables.
K Yamazaki
J. Mach. Learn. Res. 15 (1), 3541-3562, 2014
142014
A probabilistic algorithm to calculate the learning curves of hierarchical learning machines with singularities
K YAMAZAKI, S WATANABE
IEICE transactions on information and systems 85 (3), 599, 2002
132002
A new method of model selection based on learning coefficient
K Yamazaki, K Nagata, S Watanabe
IEICE Proceedings Series 40 (3-1-5-2), 2005
122005
Amorphous state formation and structural changes in a alumina by repeated rubbing
H Furuichi, K Matsuura, K Yamazaki, S Watanabe
Wear 189 (1-2), 86-90, 1995
111995
Asymptotic accuracy of Bayes estimation for latent variables with redundancy
K Yamazaki
Machine Learning 102 (1), 1-28, 2016
102016
Development of a new type of open rack LNG vaporizer
K Yamazaki, T Shimokawatoko, Y Yamasaki, M Takata, K Shikai, ...
International Conference on LNG, 12th, B, 2-10, 1998
101998
Accuracy analysis of semi-supervised classification when the class balance changes
K Yamazaki
Neurocomputing 160, 132-140, 2015
92015
Comparing two Bayes methods based on the free energy functions in Bernoulli mixtures
K Yamazaki, D Kaji
Neural networks 44, 36-43, 2013
92013
Kernel recursive ABC: Point estimation with intractable likelihood
T Kajihara, M Kanagawa, K Yamazaki, K Fukumizu
International Conference on Machine Learning, 2400-2409, 2018
82018
Structure and state of repeatedly rubbed pure iron
H Furuichi, S Nakamura, JS Xuan, K Yamazaki
wear 184 (2), 99-105, 1995
81995
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Articles 1–20