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ORCIDYusuke Tanahashi
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2010 – 2019
- 2010
[c8]Yusuke Tanahashi, Ryohei Nakano, Kazumi Saito:
Nominally Conditioned Linear Regression. ICANN (3) 2010: 290-293
2000 – 2009
- 2009
- [c7]Yusuke Tanahashi, Ryohei Nakano:
Bidirectional Clustering of MLP Weights for Finding Nominally Conditioned Polynomials. ICANN (2) 2009: 155-164 - 2007
- [c6]Ying Yan, Yusuke Tanahashi, Ryohei Nakano:
A Set of Linear Regressions with Automatic Nominal Space Partition Using a Four-Layer Perceptron. IMECS 2007: 53-58 - [c5]Yusuke Tanahashi, Daisuke Kitakoshi, Ryohei Nakano:
Nominally Piecewise Multiple Regression Using a Four-Layer Perceptron. KES (3) 2007: 218-226 - 2006
- [c4]Yusuke Tanahashi, Kazumi Saito, Daisuke Kitakoshi, Ryohei Nakano:
Finding Nominally Conditioned Multivariate Polynomials Using a Four-Layer Perceptron Having Shared Weights. KES (2) 2006: 969-976 - 2005
- [j1]Govind Nair
, Yusuke Tanahashi, Hoi Pang Low, Susan Billings-Gagliardi, William J. Schwartz, Timothy Q. Duong:
Myelination and long diffusion times alter diffusion-tensor-imaging contrast in myelin-deficient shiverer mice. NeuroImage 28(1): 165-174 (2005) - [c3]Yusuke Tanahashi, Xiang-Fang Chin, Kazumi Saito, Ryohei Nakano:
Finding a succinct multi-layer perceptron having shared weights. IJCNN 2005: 1418-1423 - [c2]Yusuke Tanahashi, Kazumi Saito, Ryohei Nakano:
Model Selection and Weight Sharing of Multi-layer Perceptrons. KES (4) 2005: 716-722 - 2004
- [c1]Yusuke Tanahashi, Kazumi Saito, Ryohei Nakano:
Piecewise Multivariate Polynomials Using a Four-Layer Perceptron. KES 2004: 602-608
Coauthor Index
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