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339 items matching your search terms
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Shota Saito
On Bayesian Approach for Classification of Context Tree Model (2022)
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Shota Saito、Toshiyasu Matsushima
Non-asymptotic converse theorem on the overflow probability of variable-to-fixed length codes (2020)
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Koshi Shimada、Shota Saito、Toshiyasu Matsushima
An Efficient Bayes Coding Algorithm for the Source Based on Context Tree Models that Vary from Section to Section (2020)
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Hiroki Toriumi、Nozomi Miya、Hajime Jinushi
A Consideration on Evolving Secret Sharing Schemes using Linear Codes (2020)
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Koki Kazama、Toshiyasu Matsushima
A Note on Secure Distributed Matrix Multiplication Methods Based on Secret Sharing Systems with General Access Structures (2021)
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Shota Saito
A Refined Analysis of Merhav and Ziv's Bayesian Approach for Classification of Markov Sources (2021)
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Yuta Nakahara、Shota Saito、Akira Kamatsuka、Toshiyasu Matsushima
Probability Distribution on Full Rooted Trees (2021)
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高野将大、中原悠太、松嶋敏泰
An Image Generative Model with Various Auto-regressive Coefficients Depending on Neighboring Pixels and the Bayes Code for It (2020)
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Nao Dobashi、Shota Saito、Yuta Nakahara、Toshiyasu Matsushima
Probabilistic Data Generating Process on Tree Structure Model: Bayes Optimal Prediction and Sub-Optimal Algorithm (2020)
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中原悠太、松嶋敏泰
An Autoregressive Image Generative Model and the Bayes Code for It (2020)
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本多拓哉、中原悠太、松嶋敏泰
Construction of Hidden Markov Models for Brain Tumor Segmentation (2020)
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Yoshifumi Ukita、Toshiyasu Matsushima
A Note on Optimality of Orthogonal Designs in Complex Space (2019)
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Alisa Miyashita、Akira Kamatsuka、Takahiro Yoshida、Toshiyasu Matsushima
A Statistical Decision-Theoretic Approach for Measuring Privacy Risk in Information Disclosure Problem (2019)
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一條尚希、中原悠太、本村勇人、松嶋敏泰
Policy Optimization Based on Bayesian Decision Theory in Learning Period on Markov Decision Process (2020)
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Goki YASUDA、Tota SUKO、Manabu KOBAYASHI、Toshiyasu Matsushima
Performance Limit of Classification in the Presence of Label Noise with Erasure (2020)
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Junki Yamaguchi、Koki Kazama、Akira Kamatsuka、Shota Saito、Toshiyasu Matsushima
A Note on Mixed Level Experimental Designs Using Augmented Orthogonal Arrays (2019)
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Nao Dobashi、Shota Saito、Toshiyasu Matsushima
Bayes Optimal Classification on Decision Tree Model and Its Approximative Algorithm Using Ensemble Learning (2019)
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Haruka Murayama、Shota Saito、Yuta Nakahara、Toshiyasu Matsushima
Bayes Optimal Prediction and Its Approximative Algorithm on Model Including Cluster Explanatory Variables and Regression Explanatory Variables (2019)
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Shunsuke Horii、Takahiro Yoshida、Manabu Kobayashi、Toshiyasu Matsushima
Gradient Coding based on LDGM Codes and Stochastic Gradient Descent (2019)
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Nozomi Miya、Takahiro Yoshida、Hajime Jinushi
A Consideration on Extended Ternary Memoryless Sources with a Simple Construction of Binary Compact Codes (2019)