Sumio Watanabe
According to our database1,
Sumio Watanabe
authored at least 100 papers
between 1992 and 2024.
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Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2024
Review and Prospect of Algebraic Research in Equivalent Framework between Statistical Mechanics and Machine Learning Theory.
CoRR, 2024
2023
CoRR, 2023
Upper Bound of Real Log Canonical Threshold of Tensor Decomposition and its Application to Bayesian Inference.
CoRR, 2023
Proceedings of the Asian Conference on Machine Learning, 2023
2022
Asymptotic behavior of free energy when optimal probability distribution is not unique.
Neurocomputing, 2022
CoRR, 2022
CoRR, 2022
2020
Asymptotic Bayesian Generalization Error in Latent Dirichlet Allocation and Stochastic Matrix Factorization.
SN Comput. Sci., 2020
IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2020
2017
Neurocomputing, 2017
CoRR, 2017
Tighter upper bound of real log canonical threshold of non-negative matrix factorization and its application to Bayesian inference.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2017, 2017
2016
Interpretation Method of Nonlinear Multilayer Principal Component Analysis by Using Sparsity and Hierarchical Clustering.
Proceedings of the 15th IEEE International Conference on Machine Learning and Applications, 2016
2015
Bayesian Cross Validation and WAIC for Predictive Prior Design in Regular Asymptotic Theory.
CoRR, 2015
2013
Proceedings of the Multi-disciplinary Trends in Artificial Intelligence, 2013
2012
IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2012
Proceedings of the 6th International Conference on Soft Computing and Intelligent Systems (SCIS), 2012
2011
Two design methods of hyperparameters in variational Bayes learning for Bernoulli mixtures.
Neurocomputing, 2011
2010
Neural Networks, 2010
Asymptotic Equivalence of Bayes Cross Validation and Widely Applicable Information Criterion in Singular Learning Theory.
J. Mach. Learn. Res., 2010
IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2010
Asymptotic Learning Curve and Renormalizable Condition in Statistical Learning Theory
CoRR, 2010
Aust. J. Intell. Inf. Process. Syst., 2010
Proceedings of the Neural Information Processing. Models and Applications, 2010
2009
CoRR, 2009
Optimal Hyperparameters for Generalized Learning and Knowledge Discovery in Variational Bayes.
Proceedings of the Neural Information Processing, 16th International Conference, 2009
2008
Exchange Monte Carlo Sampling From Bayesian Posterior for Singular Learning Machines.
IEEE Trans. Neural Networks, 2008
Neural Networks, 2008
Proceedings of the International Joint Conference on Neural Networks, 2008
Design of Exchange Monte Carlo Method for Bayesian Learning in Normal Mixture Models.
Proceedings of the Advances in Neuro-Information Processing, 15th International Conference, 2008
Proceedings of the Advances in Neuro-Information Processing, 15th International Conference, 2008
Proceedings of the Advances in Neuro-Information Processing, 15th International Conference, 2008
Proceedings of the Artificial Neural Networks, 2008
Proceedings of the Artificial Intelligence and Soft Computing, 2008
2007
Stochastic complexity for mixture of exponential families in generalized variational Bayes.
Theor. Comput. Sci., 2007
Neural Networks, 2007
Variational Bayes Solution of Linear Neural Networks and Its Generalization Performance.
Neural Comput., 2007
The Calculation Method of Learning Coefficients by Weighted Resolution of Singularities.
Proceedings of the 2007 International Conference on Machine Learning; Models, 2007
Resolution of Singularities and Stochastic Complexity of Complete Bipartite Graph-Type Spin Model in Bayesian Estimation.
Proceedings of the Modeling Decisions for Artificial Intelligence, 2007
Experimental Bayesian Generalization Error of Non-regular Models under Covariate Shift.
Proceedings of the Neural Information Processing, 14th International Conference, 2007
Proceedings of the Neural Information Processing, 14th International Conference, 2007
Asymptotic Bayesian generalization error when training and test distributions are different.
Proceedings of the Machine Learning, 2007
Proceedings of the Artificial Neural Networks, 2007
Proceedings of the Artificial Neural Networks, 2007
Proceedings of the Artificial Neural Networks, 2007
On a Singular Point to Contribute to a Learning Coefficient and Weighted Resolution of Singularities.
Proceedings of the Artificial Neural Networks, 2007
Proceedings of the Artificial Neural Networks, 2007
Proceedings of the IEEE Symposium on Foundations of Computational Intelligence, 2007
Proceedings of the IEEE Symposium on Foundations of Computational Intelligence, 2007
2006
J. Mach. Learn. Res., 2006
IEICE Trans. Inf. Syst., 2006
Proceedings of the International Joint Conference on Neural Networks, 2006
Proceedings of the Intelligent Data Engineering and Automated Learning, 2006
Proceedings of the Intelligent Data Engineering and Automated Learning, 2006
Proceedings of the Neural Information Processing, 13th International Conference, 2006
Asymptotic Behavior of Stochastic Complexity of Complete Bipartite Graph-Type Boltzmann Machines.
Proceedings of the Neural Information Processing, 13th International Conference, 2006
Proceedings of the Neural Information Processing, 13th International Conference, 2006
Proceedings of the Artificial Neural Networks, 2006
Proceedings of the Artificial Neural Networks, 2006
Proceedings of the Artificial Neural Networks, 2006
Generalization error of three layered learning model in bayesian estimation.
Proceedings of the Second IASTED International Conference on Computational Intelligence, 2006
2005
Singularities in complete bipartite graph-type Boltzmann machines and upper bounds of stochastic complexities.
IEEE Trans. Neural Networks, 2005
Neural Networks, 2005
Neurocomputing, 2005
Algebraic geometry of singular learning machines and symmetry of generalization and training errors.
Neurocomputing, 2005
Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005
Proceedings of the IEEE International Joint Conference on Neural Networks, 2005
Proceedings of the IJCAI-05, Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, Edinburgh, Scotland, UK, July 30, 2005
Proceedings of the Algorithmic Learning Theory, 16th International Conference, 2005
2004
Proceedings of the Algorithmic Learning Theory, 15th International Conference, 2004
Proceedings of the Algorithmic Learning Theory, 15th International Conference, 2004
2003
Neural Networks, 2003
Learning Coefficients of Layered Models When the True Distribution Mismatches the Singularities.
Neural Comput., 2003
2002
IEEE Trans. Neural Networks, 2002
The Effect of Singularities in a Learning Machine when the True Parameters Do Not Lie on such Singularities.
Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002
2001
IEEE Trans. Neural Networks, 2001
Neural Networks, 2001
2000
Proceedings of the Advances in Neural Information Processing Systems 13, 2000
1999
Proceedings of the Advances in Neural Information Processing Systems 12, [NIPS Conference, Denver, Colorado, USA, November 29, 1999
Proceedings of the Algorithmic Learning Theory, 10th International Conference, 1999
1998
Inequalities of Generalization Errors for Layered Neural Networks in Bayesian Learning.
Proceedings of the Fifth International Conference on Neural Information Processing, 1998
1996
Adv. Comput. Math., 1996
1995
IEEE Trans. Neural Networks, 1995
A Modified Information Criterion for Automatic Model and Parameter Selection in Neural Network Learning.
IEICE Trans. Inf. Syst., 1995
1993
Proceedings of the Advances in Neural Information Processing Systems 6, 1993
An Optimization Method of Layered Neural Networks based on the Modified Information Criterion.
Proceedings of the Advances in Neural Information Processing Systems 6, 1993
1992
An ultrasonic visual sensor for three-dimensional object recognition using neural networks.
IEEE Trans. Robotics Autom., 1992