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Taiji Suzuki

Showing results (1-10 of 18) with videos related to

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Contemporary Clinical Trials Communications|March 8, 2021
Bayesian optimization for estimating the maximum tolerated dose in Phase I clinical trialsAmi Takahashi, Taiji Suzuki
Neural Networks : the Official Journal of the International Neural Network Society|January 6, 2020
On the minimax optimality and superiority of deep neural network learning over sparse parameter spacesSatoshi Hayakawa, Taiji Suzuki
Mathematical Biosciences|May 8, 2013
Nonlinear system identification for prostate cancer and optimality of intermittent androgen suppression therapyTaiji Suzuki, Kazuyuki Aihara
Neural Computation|January 1, 2013
Sufficient dimension reduction via squared-loss mutual information estimationTaiji Suzuki, Masashi Sugiyama
Neural Networks : the Official Journal of the International Neural Network Society|December 17, 2021
Deep two-way matrix reordering for relational data analysisChihiro Watanabe, Taiji Suzuki
The International Journal of Biostatistics|April 5, 2021
Bayesian optimization design for finding a maximum tolerated dose combination in phase I clinical trialsAmi Takahashi, Taiji Suzuki
Neural Computation|October 23, 2010
Least-squares independent component analysisTaiji Suzuki, Masashi Sugiyama
Pharmaceutical Statistics|December 1, 2020
Bayesian optimization design for dose-finding based on toxicity and efficacy outcomes in phase I/II clinical trialsAmi Takahashi, Taiji Suzuki
Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences|October 6, 2010
Piecewise affine systems modelling for optimizing hormone therapy of prostate cancerTaiji Suzuki, Nicholas Bruchovsky, Kazuyuki Aihara
Neural Computation|April 29, 2020
Independently Interpretable Lasso for Generalized Linear ModelsMasaaki Takada, Taiji Suzuki, Hironori Fujisawa
Pageof 2

Showing results (1-10 of 18) with videos related to

Sort By:
Pageof 2
Contemporary Clinical Trials Communications|March 8, 2021
Bayesian optimization for estimating the maximum tolerated dose in Phase I clinical trialsAmi Takahashi, Taiji Suzuki
Neural Networks : the Official Journal of the International Neural Network Society|January 6, 2020
On the minimax optimality and superiority of deep neural network learning over sparse parameter spacesSatoshi Hayakawa, Taiji Suzuki
Mathematical Biosciences|May 8, 2013
Nonlinear system identification for prostate cancer and optimality of intermittent androgen suppression therapyTaiji Suzuki, Kazuyuki Aihara
Neural Computation|January 1, 2013
Sufficient dimension reduction via squared-loss mutual information estimationTaiji Suzuki, Masashi Sugiyama
Neural Networks : the Official Journal of the International Neural Network Society|December 17, 2021
Deep two-way matrix reordering for relational data analysisChihiro Watanabe, Taiji Suzuki
The International Journal of Biostatistics|April 5, 2021
Bayesian optimization design for finding a maximum tolerated dose combination in phase I clinical trialsAmi Takahashi, Taiji Suzuki
Neural Computation|October 23, 2010
Least-squares independent component analysisTaiji Suzuki, Masashi Sugiyama
Pharmaceutical Statistics|December 1, 2020
Bayesian optimization design for dose-finding based on toxicity and efficacy outcomes in phase I/II clinical trialsAmi Takahashi, Taiji Suzuki
Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences|October 6, 2010
Piecewise affine systems modelling for optimizing hormone therapy of prostate cancerTaiji Suzuki, Nicholas Bruchovsky, Kazuyuki Aihara
Neural Computation|April 29, 2020
Independently Interpretable Lasso for Generalized Linear ModelsMasaaki Takada, Taiji Suzuki, Hironori Fujisawa
Pageof 2