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search results for Knowledge information processing
210 items matching your search terms
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Shota Saito
On Meta-Bound for Lower Bounds of Bayes Risk (2022)
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Yuta Nakahara、Shota Saito、Akira Kamatsuka、Toshiyasu Matsushima
Probability Distribution on Rooted Trees (2022)
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Shota Saito
On Bayesian Approach for Classification of Context Tree Model (2022)
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Yasushi Esaki、Yuta Nakahara、Toshiyasu Matsushima
The Ratio of the Desired Parameters of Deep Neural Networks (2021)
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Yuta Nakahara、Shota Saito、Akira Kamatsuka、Toshiyasu Matsushima
Probability Distribution on Full Rooted Trees (2021)
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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)
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Haruka Murayama、Shota Saito、Yuji Iikubo、Yuta Nakahara、Toshiyasu Matsushima
Cluster's Number Free Bayes Prediction of General Framework on Mixture of Regression Models (2021)
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Shota Saito、Toshiyasu Matsushima
Evaluation of Error Probability of Classification Based on the Analysis of the Bayes Code: Extension and Example (2021)
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Nao Dobashi、Shota Saito、Yuta Nakahara、Toshiyasu Matsushima
Meta-Tree Random Forest: Probabilistic Data-Generative Model and Bayes Optimal Prediction (2021)
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Yoshifumi Ukita、Toshiyasu Matsushima
A Note on Computer Programming in Complex Space for Simultaneous Experiments (2020)
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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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Yuta Nakahara、Toshiyasu Matsushima
Hyperparameter Learning of Stochastic Image Generative Models with Bayesian Hierarchical Modeling and Its Effect on Lossless Image Coding (2021)
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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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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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Yoshifumi Ukita、Tomohiko Saito
A Note on the Posterior Variance in Linear Basis Function Models for Experimental Designs (2019)
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Yuji Iikubo、Shunsuke Horii、Toshiyasu Matsushima
Bayesian approach for uplift linear regression (2020)
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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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Esaki Yasushi、Yuta Nakahara、Toshiyasu Matsushima
Theoretical Analysis of the Advantage of Deepening Neural Networks (2020)