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Masayuki Karasuyama

Showing results (1-10 of 23) with videos related to

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IEEE Transactions on Neural Networks|September 2, 2011
Nonlinear regularization path for quadratic loss support vector machinesMasayuki Karasuyama, Ichiro Takeuchi
IEEE Transactions on Neural Networks|June 17, 2010
Multiple incremental decremental learning of support vector machinesMasayuki Karasuyama, Ichiro Takeuchi
IEEE Transactions on Neural Networks and Learning Systems|May 9, 2014
Multiple graph label propagation by sparse integrationMasayuki Karasuyama, Hiroshi Mamitsuka
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|October 16, 2019
Safe Triplet Screening for Distance Metric LearningTomoki Yoshida, Ichiro Takeuchi, Masayuki Karasuyama
Neural Computation|October 20, 2020
Active Learning for Level Set Estimation Under Input Uncertainty and Its ExtensionsYu Inatsu, Masayuki Karasuyama, Keiichi Inoue, et al.
Briefings in Bioinformatics|May 21, 2016
Exploring phenotype patterns of breast cancer within somatic mutations: a modicum in the intrinsic codeSohiya Yotsukura, Masayuki Karasuyama, Ichigaku Takigawa, et al.
Physical Chemistry Chemical Physics : PCCP|October 28, 2024
First-principles study on the lithiation process of amorphous SiO anode for Li-ion batteries with Bayesian optimizationRyoya Shintaku, Tomoyuki Tamura, Shogo Nogami, et al.
Neural Computation|August 16, 2020
Active Learning of Bayesian Linear Models with High-Dimensional Binary Features by Parameter Confidence-Region EstimationYu Inatsu, Masayuki Karasuyama, Keiichi Inoue, et al.
Scientific Reports|October 24, 2018
Understanding Colour Tuning Rules and Predicting Absorption Wavelengths of Microbial Rhodopsins by Data-Driven Machine-Learning ApproachMasayuki Karasuyama, Keiichi Inoue, Ryoko Nakamura, et al.
Pageof 3

Showing results (1-10 of 23) with videos related to

Sort By:
Pageof 3
IEEE Transactions on Neural Networks|September 2, 2011
Nonlinear regularization path for quadratic loss support vector machinesMasayuki Karasuyama, Ichiro Takeuchi
IEEE Transactions on Neural Networks|June 17, 2010
Multiple incremental decremental learning of support vector machinesMasayuki Karasuyama, Ichiro Takeuchi
IEEE Transactions on Neural Networks and Learning Systems|May 9, 2014
Multiple graph label propagation by sparse integrationMasayuki Karasuyama, Hiroshi Mamitsuka
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|October 16, 2019
Safe Triplet Screening for Distance Metric LearningTomoki Yoshida, Ichiro Takeuchi, Masayuki Karasuyama
Neural Computation|October 20, 2020
Active Learning for Level Set Estimation Under Input Uncertainty and Its ExtensionsYu Inatsu, Masayuki Karasuyama, Keiichi Inoue, et al.
Briefings in Bioinformatics|May 21, 2016
Exploring phenotype patterns of breast cancer within somatic mutations: a modicum in the intrinsic codeSohiya Yotsukura, Masayuki Karasuyama, Ichigaku Takigawa, et al.
Physical Chemistry Chemical Physics : PCCP|October 28, 2024
First-principles study on the lithiation process of amorphous SiO anode for Li-ion batteries with Bayesian optimizationRyoya Shintaku, Tomoyuki Tamura, Shogo Nogami, et al.
Neural Computation|August 16, 2020
Active Learning of Bayesian Linear Models with High-Dimensional Binary Features by Parameter Confidence-Region EstimationYu Inatsu, Masayuki Karasuyama, Keiichi Inoue, et al.
Scientific Reports|October 24, 2018
Understanding Colour Tuning Rules and Predicting Absorption Wavelengths of Microbial Rhodopsins by Data-Driven Machine-Learning ApproachMasayuki Karasuyama, Keiichi Inoue, Ryoko Nakamura, et al.
Pageof 3