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Kazuho Watanabe

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Neural Networks : the Official Journal of the International Neural Network Society|August 15, 2006
Stochastic complexities of general mixture models in variational Bayesian learningKazuho Watanabe, Sumio Watanabe
Neural Networks : the Official Journal of the International Neural Network Society|July 2, 2011
Divergence measures and a general framework for local variational approximationKazuho Watanabe, Masato Okada, Kazushi Ikeda
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.
Journal of Visualization|November 17, 2021
Gaze-driven placement of items for proactive visual explorationShigeo Takahashi, Akane Uchita, Kazuho Watanabe, et al.
IEEE Transactions on Neural Networks and Learning Systems|November 1, 2014
Variational Bayesian Inference Algorithms for Infinite Relational Model of Network DataTakuya Konishi, Takatomi Kubo, Kazuho Watanabe, et al.
IEEE Transactions on Neural Networks and Learning Systems|April 17, 2015
Variational inference with ARD prior for NIRS diffuse optical tomographyAtsushi Miyamoto, Kazuho Watanabe, Kazushi Ikeda, et al.
Pageof 1

Showing results (1-10 of 6) with videos related to

Sort By:
Pageof 1
Neural Networks : the Official Journal of the International Neural Network Society|August 15, 2006
Stochastic complexities of general mixture models in variational Bayesian learningKazuho Watanabe, Sumio Watanabe
Neural Networks : the Official Journal of the International Neural Network Society|July 2, 2011
Divergence measures and a general framework for local variational approximationKazuho Watanabe, Masato Okada, Kazushi Ikeda
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.
Journal of Visualization|November 17, 2021
Gaze-driven placement of items for proactive visual explorationShigeo Takahashi, Akane Uchita, Kazuho Watanabe, et al.
IEEE Transactions on Neural Networks and Learning Systems|November 1, 2014
Variational Bayesian Inference Algorithms for Infinite Relational Model of Network DataTakuya Konishi, Takatomi Kubo, Kazuho Watanabe, et al.
IEEE Transactions on Neural Networks and Learning Systems|April 17, 2015
Variational inference with ARD prior for NIRS diffuse optical tomographyAtsushi Miyamoto, Kazuho Watanabe, Kazushi Ikeda, et al.
Pageof 1