Yusuke Tanahashi

According to our database, Yusuke Tanahashi authored at least 8 papers between 2004 and 2010.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2010

Nominally Conditioned Linear Regression.

Yusuke Tanahashi, Ryohei Nakano, Kazumi Saito

Proceedings of the Artificial Neural Networks - ICANN 2010, 2010

2009

Bidirectional Clustering of MLP Weights for Finding Nominally Conditioned Polynomials.

Yusuke Tanahashi, Ryohei Nakano

Proceedings of the Artificial Neural Networks, 2009

2007

Nominally Piecewise Multiple Regression Using a Four-Layer Perceptron.

Yusuke Tanahashi, Daisuke Kitakoshi, Ryohei Nakano

Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2007

A Set of Linear Regressions with Automatic Nominal Space Partition Using a Four-Layer Perceptron.

Ying Yan, Yusuke Tanahashi, Ryohei Nakano

Proceedings of the International MultiConference of Engineers and Computer Scientists 2007, 2007

2006

Finding Nominally Conditioned Multivariate Polynomials Using a Four-Layer Perceptron Having Shared Weights.

Yusuke Tanahashi, Kazumi Saito, Daisuke Kitakoshi, Ryohei Nakano

Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2006

2005

Myelination and long diffusion times alter diffusion-tensor-imaging contrast in myelin-deficient shiverer mice.

Govind Nair, Yusuke Tanahashi, Hoi Pang Low, Susan Billings-Gagliardi, William J. Schwartz, Timothy Q. Duong

NeuroImage, 2005

Model Selection and Weight Sharing of Multi-layer Perceptrons.

Yusuke Tanahashi, Kazumi Saito, Ryohei Nakano

Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2005

2004

Piecewise Multivariate Polynomials Using a Four-Layer Perceptron.

Yusuke Tanahashi, Kazumi Saito, Ryohei Nakano

Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2004