Yuta Nakahara

According to our database, Yuta Nakahara authored at least 24 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of six.
• Erdős number of five.

2024

Batch Updating of a Posterior Tree Distribution Over a Meta-Tree.

Yuta Nakahara, Toshiyasu Matsushima

IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2024

Variational Bayesian Methods for a Tree-Structured Stick-Breaking Process Mixture of Gaussians.

Yuta Nakahara

CoRR, 2024

An Algorithmic Framework for Constructing Multiple Decision Trees by Evaluating Their Combination Performance Throughout the Construction Process.

Keito Tajima, Naoki Ichijo, Yuta Nakahara, Toshiyasu Matsushima

CoRR, 2024

Boosting-Based Sequential Meta-Tree Ensemble Construction for Improved Decision Trees.

Ryota Maniwa, Naoki Ichijo, Yuta Nakahara, Toshiyasu Matsushima

CoRR, 2024

2023

Prediction Algorithms Achieving Bayesian Decision Theoretical Optimality Based on Decision Trees as Data Observation Processes.

Yuta Nakahara, Shota Saito, Naoki Ichijo, Koki Kazama, Toshiyasu Matsushima

CoRR, 2023

Tree-Structured Gaussian Mixture Models and Their Variational Inference.

Yuta Nakahara

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

Hyperparameter Learning of Bayesian Context Tree Models.

Yuta Nakahara, Shota Saito, Koshi Shimada, Toshiyasu Matsushima

Proceedings of the IEEE International Symposium on Information Theory, 2023

2022

The Ratio of the Desired Parameters of Deep Neural Networks.

Yasushi Esaki, Yuta Nakahara, Toshiyasu Matsushima

IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2022

Probability Distribution on Full Rooted Trees.

Yuta Nakahara, Shota Saito, Akira Kamatsuka, Toshiyasu Matsushima

Entropy, 2022

Stochastic Model of Block Segmentation Based on Improper Quadtree and Optimal Code under the Bayes Criterion.

Yuta Nakahara, Toshiyasu Matsushima

Entropy, 2022

Stochastic 2D Signal Generative Model with Wavelet Packets Basis Regarded as a Random Variable and Bayes Optimal Processing.

Ryohei Oka, Yuta Nakahara, Toshiyasu Matsushima

CoRR, 2022

Two-dimensional Autoregressive Model with Time-varying Parameters and the Bayes Codes.

Yuta Nakahara, Toshiyasu Matsushima

Proceedings of the International Symposium on Information Theory and Its Applications, 2022

Bayes Optimal Estimation and Its Approximation Algorithm for Difference with and without Treatment under URLC Model.

Taisuke Ishiwatari, Shota Saito, Yuta Nakahara, Yuji Iikubo, Toshiyasu Matsushima

Proceedings of the International Symposium on Information Theory and Its Applications, 2022

Probability Distribution on Rooted Trees.

Yuta Nakahara, Shota Saito, Akira Kamatsuka, Toshiyasu Matsushima

Proceedings of the IEEE International Symposium on Information Theory, 2022

2021

A Stochastic Model for Block Segmentation of Images Based on the Quadtree and the Bayes Code for It.

Yuta Nakahara, Toshiyasu Matsushima

Entropy, 2021

Meta-Tree Random Forest: Probabilistic Data-Generative Model and Bayes Optimal Prediction.

Nao Dobashi, Shota Saito, Yuta Nakahara, Toshiyasu Matsushima

Entropy, 2021

Hyperparameter Learning of Stochastic Image Generative Models with Bayesian Hierarchical Modeling and Its Effect on Lossless Image Coding.

Yuta Nakahara, Toshiyasu Matsushima

Proceedings of the IEEE Information Theory Workshop, 2021

2020

Analysis of Decoding Error Probability of Spatially "Mt. Fuji" Coupled LDPC Codes in Waterfall Region of the BEC.

Yuta Nakahara, Toshiyasu Matsushima

IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2020

Autoregressive Image Generative Models with Normal and t-distributed Noise and the Bayes Codes for Them.

Yuta Nakahara, Toshiyasu Matsushima

Proceedings of the International Symposium on Information Theory and Its Applications, 2020

Theoretical Analysis of the Advantage of Deepening Neural Networks.

Yasushi Esaki, Yuta Nakahara, Toshiyasu Matsushima

Proceedings of the 19th IEEE International Conference on Machine Learning and Applications, 2020

A Stochastic Model of Block Segmentation Based on the Quadtree and the Bayes Code for It.

Yuta Nakahara, Toshiyasu Matsushima

Proceedings of the Data Compression Conference, 2020

2019

Covariance Evolution for Spatially "Mt. Fuji" Coupled LDPC Codes.

Yuta Nakahara, Toshiyasu Matsushima

Proceedings of the 2019 IEEE Information Theory Workshop, 2019

2018

A Note on Weight Distributions of Spatially "Mt. Fuji" Coupled LDPC Codes.

Yuta Nakahara, Toshiyasu Matsushima

IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2018

2017

Spatially "Mt. Fuji" Coupled LDPC Codes.

Yuta Nakahara, Shota Saito, Toshiyasu Matsushima

IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2017