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Eguchi, Shinto
141  Ergebnisse:
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1

MT Method for Anomaly Detection and Classification using EM..:

Tateishi, Katsuhiko ; Iwamoto, Hiroki ; Eguchi, Shinto.
Quality Innovation Prosperity.  28 (2024)  1 - p. 1-14 , 2024
Link: https://doi.org/10.12776..
 
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2

Robust minimum divergence estimation in a spatial Poisson p..:

Saigusa, Yusuke ; Eguchi, Shinto ; Komori, Osamu
Ecological Informatics.  81 (2024)  - p. 102569 , 2024
Link: https://doi.org/10.1016/..
 
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3

A new integrated discrimination improvement index via odds:

Hayashi, Kenichi ; Eguchi, Shinto
Statistical Papers.  , 2024
Link: https://doi.org/10.1007/..
 
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4

Statistical learning for species distribution models in eco..:

Komori, Osamu ; Saigusa, Yusuke ; Eguchi, Shinto
Japanese Journal of Statistics and Data Science.  6 (2023)  2 - p. 803-826 , 2023
Link: https://doi.org/10.1007/..
 
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5

The T-method with the application of sparse modeling:

Asano, Ryo ; Ohkubo, Masato ; Eguchi, Shinto.
Total Quality Science.  9 (2023)  1 - p. 1-7 , 2023
Link: https://doi.org/10.17929..
 
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6

Unsupervised Learning Algorithms:

, In: Minimum Divergence Methods in Statistical Machine Learning,
Eguchi, Shinto ; Komori, Osamu - p. 125-152 , 2022
Link: https://doi.org/10.1007/..
 
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7

Minimum Divergence Method:

, In: Minimum Divergence Methods in Statistical Machine Learning,
Eguchi, Shinto ; Komori, Osamu - p. 97-122 , 2022
Link: https://doi.org/10.1007/..
 
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8

Area under the curve‐optimized synthesis of prediction mode..:

Yoneoka, Daisuke ; Omae, Katsuhiro ; Henmi, Masayuki.
Research Synthesis Methods.  14 (2022)  2 - p. 234-246 , 2022
Link: https://doi.org/10.1002/..
 
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9

Robust Self-Tuning Semiparametric PCA for Contaminated Elli..:

Hung, Hung ; Huang, Su-Yun ; Eguchi, Shinto
IEEE Transactions on Signal Processing.  70 (2022)  - p. 5885-5897 , 2022
Link: https://doi.org/10.1109/..
 
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10

Maximum Entropy Model:

, In: Minimum Divergence Methods in Statistical Machine Learning,
Eguchi, Shinto ; Komori, Osamu - p. 71-95 , 2022
Link: https://doi.org/10.1007/..
 
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11

Information Divergence:

, In: Minimum Divergence Methods in Statistical Machine Learning,
Eguchi, Shinto ; Komori, Osamu - p. 19-69 , 2022
Link: https://doi.org/10.1007/..
 
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12

Mahalanobis-Taguchi Method for Anomaly Detection and Classi..:

Honma, Kentaro ; Ohkubo, Masato ; Eguchi, Shinto.
Total Quality Science.  8 (2022)  1 - p. 1-13 , 2022
Link: https://doi.org/10.17929..
 
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13

Classification:

, In: Minimum Divergence Methods in Statistical Machine Learning,
Eguchi, Shinto ; Komori, Osamu - p. 179-195 , 2022
Link: https://doi.org/10.1007/..
 
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14

Regression Model:

, In: Minimum Divergence Methods in Statistical Machine Learning,
Eguchi, Shinto ; Komori, Osamu - p. 153-178 , 2022
Link: https://doi.org/10.1007/..
 
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15

Minimum information divergence of Q-functions for dynamic t..:

Eguchi, Shinto
Information Geometry.  7 (2022)  S1 - p. 229-249 , 2022
Link: https://doi.org/10.1007/..
 
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