Research Areas
-
Statistical science / Intelligent informatics / Theory of informatics
Details of a Researcher
Updated on 2024/11/08
Machine Learning
Statistical Learning Theory
Statistical Science
Information Theory
Asymptotoic Analysis of Classification in the Presence of Generalized Label Noise
Proceedings of International Symposium on Information Theory and Its Applications 2018.10 [Refereed]
A Study of Asymptotic Evaluation of Prediction for Semi-supervised Learning
G. Yasuda
Waseda University 2017.02
Asymptotics of Prediction Based on a Consistent Solution of the Likelihood Equation for Semi-supervised Learning
G. Yasuda, N. Miya, T. Suko, T. Matsushima
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences (Japanese Edition) vol. J100-A ( 1 ) pp. 102 - 113 2017.01 [Refereed]
Analysis of Performance Gain from Unlabeled Data in Semi-supervised Learning
Proceedings of International Symposium on Information Theory and Its Applications 2016.10 [Refereed]
Asymptotics of MLE-based Prediction for Semi-supervised Learning
Proceedings of International Symposium on Information Theory and Its Applications 2014.10 [Refereed]
Implementation and optimization of software 2Dto3D conversion for ARM
Tse Kai Heng, Yuji Kawashima, Tatsuro Fujisawa, Goki Yasuda, Makoto Oshikiri, Takahiro Tanaka, Kaoru Matsuoka, Yoshihiro Kikuchi
1st IEEE Global Conference on Consumer Electronics 2012, GCCE 2012 491 - 492 2012 [Refereed]
Asymptotics of Bayesian estimation for nested models under misspecification
Nozomi Miya, Tota Suko, Goki Yasuda, Toshiyasu Matsushima
2012 INTERNATIONAL SYMPOSIUM ON INFORMATION THEORY AND ITS APPLICATIONS (ISITA 2012) 86 - 90 2012 [Refereed]
IN-LOOP FILTER USING BLOCK-BASED FILTER CONTROL FOR VIDEO CODING
Takashi Watanabe, Naofumi Wada, Goki Yasuda, Akiyuki Tanizawa, Takeshi Chujoh, Tomoo Yamakage
2009 16TH IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, VOLS 1-6 1013 - 1016 2009 [Refereed]
Extended Adaptive Filtering for Motion Compensated Prediction
Proceedings of International Workshop on Advanced Image Technology 2006.01 [Refereed]
拡張適応補間フィルタを用いた動き補償予測
G. Yasuda, T. Chujoh
Forum on Information Technology FIT 2004 ( 3 ) pp. 223 - 224 2004.09 [Refereed]
補助情報付情報源のベイズ決定理論に基づくユニバーサル符号化
G. Yasuda
Waseda University 2003
Performance Limit of Classification in the Presence of Label Noise with Erasure
安田豪毅, 須子統太, 小林学, 松嶋敏泰
電子情報通信学会技術研究報告(Web) 120 ( 268(IT2020 24-62) ) 2020
Classification Algorithms for Generalized Label Noise Model with Unknown Parameter
須子統太, 安田豪毅, 堀井俊佑, 小林学
電子情報通信学会技術研究報告 118 ( 284(IBISML2018 44-104)(Web) ) 2018
早稲田大学におけるデータ科学教育の取り組み ~早稲田大学データ科学総合研究教育センターの活動~
須子統太, 小林学, 堀井俊佑, 安田豪毅, 松嶋敏泰
日本経営工学会秋季大会予稿集(Web) 2018 2018
半教師付き学習における予測誤差に対するラベルなしデータの有効性に関する一考察
大和田歩, 安田豪毅, 松嶋敏泰
情報理論とその応用シンポジウム予稿集 37 pp. 288 - 293 2014.12
Research paper, summary (national, other academic conference)
真の分布を含むとは限らない階層モデル族に対するベイズ推定の漸近評価
宮希望, 須子統太, 安田豪毅, 松嶋敏泰
情報理論とその応用シンポジウム予稿集 36 pp. 665 - 670 2013.11
Research paper, summary (national, other academic conference)
半教師付き学習における一致推定量に基づく予測の漸近評価
安田豪毅, 宮希望, 須子統太, 松嶋敏泰
情報理論とその応用シンポジウム予稿集 36 pp. 659 - 664 2013.11
Research paper, summary (national, other academic conference)
Asymptotics of Bayesian prediction for misspecified models
N. Miya, T. Suko, G. Yasuda, T. Matsushima
IEICE Technical Report (IT) 111 ( 142 ) pp. 71 - 76 2011.07
Research paper, summary (national, other academic conference)
A study of coding for sources with nonstationary parameter
G. Yasuda, R. Nomura, T. Matsushima
IEICE Technical Report (IT) 101 ( 177 ) pp. 25 - 30 2001.07
Research paper, summary (national, other academic conference)
Introduction to Data Science 1 (For Intermediates in Statistics) 04
Global Education Center
2024 winter quarter
Introduction to Data Science 2 (For Intermediates in Statistics) 02
Global Education Center
2024 summer quarter
Introduction to Data Science 1 (For Intermediates in Statistics) 03
Global Education Center
2024 fall quarter
Introduction to Data Science 1 (For Intermediates in Statistics) 02
Global Education Center
2024 summer quarter
Introduction to Data Science 2 (For Intermediates in Statistics) 01
Global Education Center
2024 spring quarter
Introduction to Data Science 1 (For Intermediates in Statistics) 01
Global Education Center
2024 spring quarter
Introduction to Data Science 2 (For Intermediates in Statistics) 04
Global Education Center
2024 winter quarter
Introduction to Data Science 2 (For Intermediates in Statistics) 03
Global Education Center
2024 fall quarter
Affiliated organization Global Education Center
2019 須子統太, 堀井俊佑, 小林学, 松嶋敏泰
2018 須子 統太, 小林 学
Click to view the Scopus page. The data was downloaded from Scopus API in November 07, 2024, via http://api.elsevier.com and http://www.scopus.com .