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30 non-peer reviewed publications (marked +).
+ BONE: a unifying framework for Bayesian online learning in non-stationary environments
Gerardo Duran-Martin, Leandro Sánchez-Betancourt, Alexander Y. S
Generative Models for the Psychology of Art in Empirical Studies of the Arts, 2024 [Preprint] [Paper]
Asia-Pacific
Asia-Pacific
In Proc. of the Workshop on on the History of AI in Europe (WHAI@EU),
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Neal, R. M. (2024) ``Modifying Gibbs sampling to avoid self transitions'',
Technical Report, 84 pages: abstract, pdf.
Report, 24 pages: abstract, pdf.
As a pioneer in machine learning and online education, Dr. Ng has changed countless lives through his work in AI, and has authored or co-authored over 200 research papers in machine learning, robotics
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2023年10月
NHK サイエンスZERO にて線虫の特集「人類の未来を変える"ミラクル生物"線虫 驚異の能力と可能性」が放送されます。森 郁恵 シニアリサーチフェローがスタジオ出演します。(本放送: 2023年10月22日(日)23:30, 再放送: 10月28日(土) 11:00)
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2023年01月07日(土) [n年日記]
この方法は完全に統計的に動いており, 内部的には1000次元のニューラル文書ベクトルをSVDで効率的に計算し, 基本的な線形代数を用いて最適解を返すものになっています。
この方法を拡張して, Researcher2Vecにもあるように, 各研究者の「研究者ベクトル」を計算することで, キーワードから研究者を検索できる"ACL2Vec-authors"をさ
If you are applying to work with our group via an MIT PhD program, please consider applying to both the Department of Brain and Cognitive Sciences, and Electrical Engineering and Computer Science. I w
An Introduction to Statistical Learning: (2nd ed 2021)
2022
Data Science, Statistics, and Health. Univ. of Padua 2022
2021
The lasso: past, present and future. ISI Founders prize award lecture
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U. Marteau-Ferey, A. Rudi, F. Bach. Sampling from Arbitrary Functions via PSD Models. Technical report, arXiv:2110.10527, 2021. [pdf]
F. Bach, L. Chizat. Gradient Descent on Infinitely Wide Neural Net
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Professor of Computational Biology Emeritus
I have retired and am not currently accepting new PhD students, although I continue to advise my current students and maintain my research program. I am ver
Mon Jan 4 22:18:18 2021
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Gunilla Sonnebring
2020-11-27
Nitish Srivastava, Elman Mansimov, Ruslan
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Sathiya Keerthi Selvaraj
I am a researcher (Principal Staff Scientist) in the AI Group of Linkedin. I work on Distributed training of machine learning and AI systems, Huge scale Linear programming, an
pdp_zhao_final.pdf2019-04-15 11:40 624K
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Göksu C, Hanson LG, Siebner HR, Ehses P, Scheffler K and Thielscher A (May-2018) Human in-vivo brain magnetic resonance current density imaging (MRCDI) NeuroImage 171 26-39.
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Hackett, Storey 2017 Mixed membership martial arts: Data-driven analysis of winning martial arts styles MIT Sloan Sports Analytics Conference Research Paper [PDF] SportsAnalytics
Ochoa, Storey 2016 FS
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中島 秀之, 客観至上主義を疑ってみる, in 諏訪,堀編 一人称研究のすすめ, pp. 171-201 , 近代科学社, 2015
中島秀之 構成的学問体系とデータサイエンス - ロボティクスにおけるデータサイエンスの位置付け -, ロボット学会誌, vol.33, no. 2, pp.64-67, 2015
中島秀之,野田五十樹,松原仁,平田圭二,
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I. Imayoshi, A. Isomura, Y. Harima, K. Kawaguchi, H. Kori, H. Miyachi, T. Fujiwara, F. Ishidate, R. Kageyama:
”Oscillatory Control of Factors Determining Multipotency and Fate in
Misha Denil, Babak Shakibi, Laurent Dinh, Marc’Aurelio Ranzato and Nando de Freitas. Predicting Parameters in Deep Learning. To appear in NIPS 2013. Technical Report arXiv:1306.0543.
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2012.6.296月30日をもって、「次世代スーパーコンピュータ開発実施本部」は、「京」の開発・整備を完了し、組織の役割を完了いたします。現在、計算科学研究機構(AICS)が9月末の共用開始をめざし「京」の運用を行っております。引き続きどうぞよろしくお願いいたします。
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Large Scale Variational Inference and Experimental Design for Sparse Generalized Linear Models
Technical Report TR-175 (September 2008)
Max Planck Inst
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