| Asymptotic equivalence of Bayes cross validation and widely applicable information criterion in singular learning theory. S Watanabe Journal of machine learning research 11 (12), 3571-3594, 2010 | 3246 | 2010 |
| A widely applicable Bayesian information criterion S Watanabe Journal of Machine Learning Research 14, 867-897, 2013 | 1087 | 2013 |
| Algebraic geometry and statistical learning theory S Watanabe Cambridge university press, 2009 | 510 | 2009 |
| Algebraic analysis for nonidentifiable learning machines S Watanabe Neural Computation 13 (4), 899-933, 2001 | 303 | 2001 |
| Singularities in mixture models and upper bounds of stochastic complexity K Yamazaki, S Watanabe Neural networks 16 (7), 1029-1038, 2003 | 152 | 2003 |
| Algebraic geometrical methods for hierarchical learning machines S Watanabe Neural Networks 14 (8), 1049-1060, 2001 | 128 | 2001 |
| Stochastic complexities of reduced rank regression in Bayesian estimation M Aoyagi, S Watanabe Neural Networks 18 (7), 924-933, 2005 | 124 | 2005 |
| Mathematical theory of Bayesian statistics S Watanabe chapman and hall/cRc, 2018 | 118 | 2018 |
| An ultrasonic visual sensor for three-dimensional object recognition using neural networks S Watanabe, M Yoneyama IEEE transactions on Robotics and Automation 8 (2), 240-249, 1992 | 118 | 1992 |
| Equations of states in singular statistical estimation S Watanabe Neural Networks 23 (1), 20-34, 2010 | 112 | 2010 |
| A network of chaotic elements for information processing S Ishi, K Fukumizu, S Watanabe Neural Networks 9 (1), 25-40, 1996 | 99 | 1996 |
| Stochastic complexities of Gaussian mixtures in variational Bayesian approximation K Watanabe, S Watanabe The Journal of Machine Learning Research 7, 625-644, 2006 | 71 | 2006 |
| Asymptotic behavior of exchange ratio in exchange Monte Carlo method K Nagata, S Watanabe Neural Networks 21 (7), 980-988, 2008 | 69 | 2008 |
| Algebraic analysis for singular statistical estimation S Watanabe Algorithmic Learning Theory: 10th International Conference, ALT’99 Tokyo …, 1999 | 63 | 1999 |
| Almost all learning machines are singular S Watanabe 2007 IEEE Symposium on Foundations of Computational Intelligence, 383-388, 2007 | 61 | 2007 |
| Neural network learning system inferring an input-output relationship from a set of given input and output samples S Watanabe, K Fukumizu US Patent 5,479,576, 1995 | 57 | 1995 |
| Ultrasonic robot eyes using neural networks S Watanabe, M Yoneyama IEEE transactions on ultrasonics, ferroelectrics, and frequency control 37 …, 1990 | 53 | 1990 |
| ベイズ統計の理論と方法 渡辺澄夫 (No Title), 2012 | 51 | 2012 |
| Algebraic geometry and stochastic complexity of hidden Markov models K Yamazaki, S Watanabe Neurocomputing 69 (1-3), 62-84, 2005 | 47 | 2005 |
| Three-dimensional object imaging method and system S Watanabe US Patent 5,031,154, 1991 | 47 | 1991 |
Keisuke YamazakiAISTVerified email at aist.go.jp
