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Yasuda, Muneki
87  Ergebnisse:
Personensuche X
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1

Quasi-free energy evaluation of Gaussian-Bernoulli restrict..:

Sekimoto, Kaiji ; Takahashi, Chako ; Yasuda, Muneki
Nonlinear Theory and Its Applications, IEICE.  15 (2024)  2 - p. 273-283 , 2024
Link: https://doi.org/10.1587/..
 
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2

Gaussian-discrete restricted Boltzmann machine with sparse-..:

Yasuda, Muneki ; Sekimoto, Kaiji
Behaviormetrika.  , 2024
Link: https://doi.org/10.1007/..
 
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3

Effective sampling on Gaussian-Bernoulli restricted Boltzma..:

Yasuda, Muneki
Nonlinear Theory and Its Applications, IEICE.  15 (2024)  2 - p. 217-225 , 2024
Link: https://doi.org/10.1587/..
 
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4

Discriminative restricted Boltzmann machine with trainable ..:

Yasuda, Muneki ; Katsumata, Tomu
Nonlinear Theory and Its Applications, IEICE.  14 (2023)  2 - p. 207-214 , 2023
Link: https://doi.org/10.1587/..
 
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5

Effective learning algorithm for restricted Boltzmann machi..:

Sekimoto, Kaiji ; Yasuda, Muneki
Nonlinear Theory and Its Applications, IEICE.  14 (2023)  2 - p. 228-241 , 2023
Link: https://doi.org/10.1587/..
 
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6

Free energy evaluation using marginalized annealed importan..:

Yasuda, Muneki ; Takahashi, Chako
Physical Review E.  106 (2022)  2 - p. , 2022
Link: https://doi.org/10.1103/..
 
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7

Hierarchical Gaussian Markov Random Field for Image Denoisi..:

MONMA, Yuki ; ARO, Kan ; YASUDA, Muneki
IEICE Transactions on Information and Systems.  E105.D (2022)  3 - p. 689-699 , 2022
Link: https://doi.org/10.1587/..
 
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8

The association between the subjective quality of sleep and..:

Cho, Seung-Il ; Tsuchiya, Minami ; Tanaka, Atsushi...
Nonlinear Theory and Its Applications, IEICE.  12 (2021)  3 - p. 464-474 , 2021
Link: https://doi.org/10.1587/..
 
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9

Empirical Bayes Method for Boltzmann Machines:

, In: Sublinear Computation Paradigm,
Yasuda, Muneki - p. 277-293 , 2021
Link: https://doi.org/10.1007/..
 
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10

Spatial Monte Carlo integration with annealed importance sa..:

Yasuda, Muneki ; Sekimoto, Kaiji
Physical Review E.  103 (2021)  5 - p. , 2021
Link: https://doi.org/10.1103/..
 
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11

Effective fine-tuning training of deep Boltzmann machine ba..:

Katsumata, Tomu ; Yasuda, Muneki
Nonlinear Theory and Its Applications, IEICE.  12 (2021)  3 - p. 377-390 , 2021
Link: https://doi.org/10.1587/..
 
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12

Consistent batch normalization for weighted loss in imbalan..:

Yasuda, Muneki ; En, Yeo Xian ; Ueno, Seishirou
Nonlinear Theory and Its Applications, IEICE.  11 (2020)  4 - p. 454-465 , 2020
Link: https://doi.org/10.1587/..
 
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13

Visualization and evaluation of the relation between the es..:

Cho, Seung-Il ; Tsuchiya, Minami ; Tanaka, Atsushi...
Nonlinear Theory and Its Applications, IEICE.  11 (2020)  4 - p. 517-526 , 2020
Link: https://doi.org/10.1587/..
 
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14

Bayesian Image Denoising with Multiple Noisy Images:

Kataoka, Shun ; Yasuda, Muneki
The Review of Socionetwork Strategies.  13 (2019)  2 - p. 267-280 , 2019
Link: https://doi.org/10.1007/..
 
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15

Restricted Boltzmann Machine with Multivalued Hidden Variab..:

Yokoyama, Yuuki ; Katsumata, Tomu ; Yasuda, Muneki
The Review of Socionetwork Strategies.  13 (2019)  2 - p. 253-266 , 2019
Link: https://doi.org/10.1007/..
 
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