Taro Konda

According to our database, Taro Konda authored at least 9 papers between 2002 and 2009.

Collaborative distances:

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

2009

A new algorithm for singular value decomposition and its parallelization.

Taro Konda, Yoshimasa Nakamura

Parallel Comput., 2009

2008

Evaluations of Parallel Double Divide and Conquer on a 16?core Computer.

Taro Konda, Hiroki Toyokawa, Yoshimasa Nakamura

Proceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications, 2008

2007

Parallelism of double divide and conquer algorithm for singular value decomposition.

Taro Konda, Hiroaki Tsuboi, Masami Takata, Masashi Iwasaki, Yoshimasa Nakamura

Proceedings of the IASTED International Conference on Parallel and Distributed Computing and Networks, 2007

2006

Evaluation of a New Eigen Decomposition Algorithm for Symmetric Tridiagonal Matrices.

Hiroaki Tsuboi, Taro Konda, Masami Takata, Kinji Kimura, Masashi Iwasaki, Yoshimasa Nakamura

Proceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications & Conference on Real-Time Computing Systems and Applications, 2006

Verification of dLVv Transformation for Singular Vector Computation with High Accuracy.

Masami Takata, Taro Konda, Kinji Kimura, Yoshimasa Nakamura

Proceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications & Conference on Real-Time Computing Systems and Applications, 2006

Preliminary Result of Parallel Double Divide and Conquer.

Taro Konda, Hiroaki Tsuboi, Masami Takata, Masashi Iwasaki, Yoshimasa Nakamura

Proceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications & Conference on Real-Time Computing Systems and Applications, 2006

A newsingular value decomposition algorithmsuited to parallelization and preliminary results.

Taro Konda, Masami Takata, Masashi Iwasaki, Yoshimasa Nakamura

Proceedings of the IASTED International Conference on Advances in Computer Science and Technology, 2006

2002

LC-Learning: Phased Method for Average Reward Reinforcement Learning - Analysis of Optimal Criteria.

Taro Konda, Tomohiro Yamaguchi

Proceedings of the PRICAI 2002: Trends in Artificial Intelligence, 2002

LC-Learning: Phased Method for Average Reward Reinforcement Learning - Preliminary Results.

Taro Konda, Shinjiro Tensyo, Tomohiro Yamaguchi

Proceedings of the PRICAI 2002: Trends in Artificial Intelligence, 2002