国際学会 の検索結果

137 件 見つかりました。

• Shota Saito
  On Meta-Bound for Lower Bounds of Bayes Risk (2022) 
  
• Yuta Nakahara、Shota Saito、Akira Kamatsuka、Toshiyasu Matsushima
  Probability Distribution on Rooted Trees (2022) 
  
• 中原 悠太、松嶋 敏泰
  Stochastic Model of Block Segmentation Based on Improper Quadtree and Optimal Code under the Bayes Criterion (2021) 
  
• Taisuke Ishiwatari、Shota Saito、Yuta Nakahara、Yuji Iikubo、Toshiyasu Matsushima
  Bayes Optimal Estimation and Its Approximation Algorithm for Difference with and without Treatment under URLC Model (2022) 
  
• Shota Saito、Toshiyasu Matsushima
  Evaluation of Error Probability of Classification Based on the Analysis of the Bayes Code: Extension and Example (2021) 
  
• 浮田 善文、松嶋 敏泰
  A Note on Computer Programming in Complex Space for Simultaneous Experiments (2020) 
  
• 中原 悠太、松嶋 敏泰
  Hyperparameter Learning of Stochastic Image Generative Models with Bayesian Hierarchical Modeling and Its Effect on Lossless Image Coding (2021) 
  
• Akira Kamatsuka、Takahiro Yoshida、Toshiyasu Matsushima
  Privacy-Utility Trade-off with the Stratonovich’s Value of Information (2021) 
  
• Koshi Shimada、Shota Saito、Toshiyasu Matsushima
  An Efficient Bayes Coding Algorithm for the Non-Stationary Source in Which Context Tree Model Varies from Interval to Interval (2021) 
  
• Shota Saito、Toshiyasu Matsushima
  Evaluation of Error Probability of Classification Based on the Analysis of the Bayes Code (2020) 
  
• 中原 悠太、松嶋 敏泰
  A Stochastic Model of Block Segmentation Based on the Quadtree and the Bayes Code for It (2019) 
  
• 宮下 有咲、鎌塚 明、吉田 隆弘、松嶋 敏泰
  A Statistical Decision-Theoretic Approach for Measuring Privacy Risk and Utility in Databases (2019) 
  
• 浮田 善文、斉藤 友彦
  A Note on the Posterior Variance in Linear Basis Function Models for Experimental Designs (2019) 
  
• 斉藤 友彦、浮田 善文、松嶋 敏泰、平澤 茂一
  A Heuristic Algorithm for the Construction of 2-level Linear Unequal Error Protection Codes (2019) 
  
• 飯窪 裕二、堀井 俊佑、松嶋 敏泰
  Bayesian approach for uplift linear regression (2020) 
  
• 江崎 泰志、中原 悠太、松嶋 敏泰
  Theoretical Analysis of the Advantage of Deepening Neural Networks (2020) 
  
• 齋藤 翔太、松嶋 敏泰
  On Two Information Quantities Relating Two Distortion Balls (2020) 
  
• 中原 悠太、松嶋 敏泰
  Autoregressive Image Generative Models with Normal and t-distributed Noise and the Bayes Codes for Them (2020) 
  
• 風間 皐希、鎌塚 明、吉田 隆弘、松嶋 敏泰
  A Note on a Relationship between Smooth Locally Decodable Codes and Private Information Retrieval (2020) 
  
• 中原 悠太、松嶋 敏泰
  Bayes Code for 2-dimensional Auto-regressive Hidden Markov Model and Its Application to Lossless Image Compression (2019)