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Masashi Sugiyama

Showing results (1-10 of 81) with videos related to

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Neural Computation|October 23, 2010
Least-squares independent component analysisTaiji Suzuki, Masashi Sugiyama
Neural Networks : the Official Journal of the International Neural Network Society|July 27, 2012
Canonical dependency analysis based on squared-loss mutual informationMasayuki Karasuyama, Masashi Sugiyama
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|July 25, 2008
A batch ensemble approach to active learning with model selectionMasashi Sugiyama, Neil Rubens
Diagnostics (Basel, Switzerland)|December 19, 2018
Characteristics of a Surgical Snare Using Microwave EnergyMasashi Sugiyama, Kazuyuki Saito
Neural Computation|December 2, 2024
A Fast Algorithm for the Real-Valued Combinatorial Pure Exploration of the Multi-Armed BanditShintaro Nakamura, Masashi Sugiyama
Neural Networks : the Official Journal of the International Neural Network Society|July 20, 2002
Optimal design of regularization term and regularization parameter by subspace information criterionMasashi Sugiyama, Hidemitsu Ogawa
Neural Networks : the Official Journal of the International Neural Network Society|October 10, 2012
Improving importance estimation in pool-based batch active learning for approximate linear regressionNozomi Kurihara, Masashi Sugiyama
Neural Networks : the Official Journal of the International Neural Network Society|July 1, 2014
Semi-supervised information-maximization clusteringDaniele Calandriello, Gang Niu, Masashi Sugiyama
Applied and Environmental Microbiology|June 4, 2024
Random forest machine-learning algorithm classifies white- and brown-rot fungi according to the number of the genes encoding Carbohydrate-Active enZyme familiesNatsuki Hasegawa, Masashi Sugiyama, Kiyohiko Igarashi
Pageof 9

Showing results (1-10 of 81) with videos related to

Sort By:
Pageof 9
Neural Computation|October 23, 2010
Least-squares independent component analysisTaiji Suzuki, Masashi Sugiyama
Neural Networks : the Official Journal of the International Neural Network Society|July 27, 2012
Canonical dependency analysis based on squared-loss mutual informationMasayuki Karasuyama, Masashi Sugiyama
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|July 25, 2008
A batch ensemble approach to active learning with model selectionMasashi Sugiyama, Neil Rubens
Diagnostics (Basel, Switzerland)|December 19, 2018
Characteristics of a Surgical Snare Using Microwave EnergyMasashi Sugiyama, Kazuyuki Saito
Neural Computation|December 2, 2024
A Fast Algorithm for the Real-Valued Combinatorial Pure Exploration of the Multi-Armed BanditShintaro Nakamura, Masashi Sugiyama
Neural Networks : the Official Journal of the International Neural Network Society|July 20, 2002
Optimal design of regularization term and regularization parameter by subspace information criterionMasashi Sugiyama, Hidemitsu Ogawa
Neural Networks : the Official Journal of the International Neural Network Society|October 10, 2012
Improving importance estimation in pool-based batch active learning for approximate linear regressionNozomi Kurihara, Masashi Sugiyama
Neural Networks : the Official Journal of the International Neural Network Society|July 1, 2014
Semi-supervised information-maximization clusteringDaniele Calandriello, Gang Niu, Masashi Sugiyama
Applied and Environmental Microbiology|June 4, 2024
Random forest machine-learning algorithm classifies white- and brown-rot fungi according to the number of the genes encoding Carbohydrate-Active enZyme familiesNatsuki Hasegawa, Masashi Sugiyama, Kiyohiko Igarashi
Pageof 9