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Shotaro Akaho

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

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Neural Computation|March 28, 2022
Principal Component Analysis for Gaussian Process PosteriorsHideaki Ishibashi, Shotaro Akaho
Neural Computation|May 9, 2022
Full-Span Log-Linear Model and Fast Learning AlgorithmKazuya Takabatake, Shotaro Akaho
Neural Networks : the Official Journal of the International Neural Network Society|December 3, 2014
An efficient sampling algorithm with adaptations for Bayesian variable selectionTakamitsu Araki, Kazushi Ikeda, Shotaro Akaho
Neural Computation|July 26, 2021
Pathological Spectra of the Fisher Information Metric and Its Variants in Deep Neural NetworksRyo Karakida, Shotaro Akaho, Shun-Ichi Amari
Neural Computation|April 15, 2017
Local Intrinsic Dimension Estimation by Generalized Linear ModelingHideitsu Hino, Jun Fujiki, Shotaro Akaho, et al.
Neural Computation|September 15, 2016
Nonparametric e-Mixture EstimationKen Takano, Hideitsu Hino, Shotaro Akaho, et al.
Plos One|January 12, 2017
Time-Varying Transition Probability Matrix Estimation and Its Application to Brand Share AnalysisTomoaki Chiba, Hideitsu Hino, Shotaro Akaho, et al.
IEEE Transactions on Neural Networks|September 23, 2009
Variational Bayesian mixture model on a subspace of exponential family distributionsKazuho Watanabe, Shotaro Akaho, Shinichiro Omachi, et al.
Neural Networks : the Official Journal of the International Neural Network Society|June 18, 2010
Visualization of multi-neuron activity by simultaneous optimization of clustering and dimension reductionNarihisa Matsumoto, Shotaro Akaho, Yasuko Sugase-Miyamoto, et al.
Neural Computation|March 10, 2004
Asymptotic properties of the Fisher kernelKoji Tsuda, Shotaro Akaho, Motoaki Kawanabe, et al.
Pageof 2

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

Sort By:
Pageof 2
Neural Computation|March 28, 2022
Principal Component Analysis for Gaussian Process PosteriorsHideaki Ishibashi, Shotaro Akaho
Neural Computation|May 9, 2022
Full-Span Log-Linear Model and Fast Learning AlgorithmKazuya Takabatake, Shotaro Akaho
Neural Networks : the Official Journal of the International Neural Network Society|December 3, 2014
An efficient sampling algorithm with adaptations for Bayesian variable selectionTakamitsu Araki, Kazushi Ikeda, Shotaro Akaho
Neural Computation|July 26, 2021
Pathological Spectra of the Fisher Information Metric and Its Variants in Deep Neural NetworksRyo Karakida, Shotaro Akaho, Shun-Ichi Amari
Neural Computation|April 15, 2017
Local Intrinsic Dimension Estimation by Generalized Linear ModelingHideitsu Hino, Jun Fujiki, Shotaro Akaho, et al.
Neural Computation|September 15, 2016
Nonparametric e-Mixture EstimationKen Takano, Hideitsu Hino, Shotaro Akaho, et al.
Plos One|January 12, 2017
Time-Varying Transition Probability Matrix Estimation and Its Application to Brand Share AnalysisTomoaki Chiba, Hideitsu Hino, Shotaro Akaho, et al.
IEEE Transactions on Neural Networks|September 23, 2009
Variational Bayesian mixture model on a subspace of exponential family distributionsKazuho Watanabe, Shotaro Akaho, Shinichiro Omachi, et al.
Neural Networks : the Official Journal of the International Neural Network Society|June 18, 2010
Visualization of multi-neuron activity by simultaneous optimization of clustering and dimension reductionNarihisa Matsumoto, Shotaro Akaho, Yasuko Sugase-Miyamoto, et al.
Neural Computation|March 10, 2004
Asymptotic properties of the Fisher kernelKoji Tsuda, Shotaro Akaho, Motoaki Kawanabe, et al.
Pageof 2