knakayama.com
Publication | Kotaro Nakayama
http://knakayama.com/publication
Assistant Prof, the University of Tokyo. Research papers (International Journals, conferences, posters and demos). M Ito, K. Nakayama. T Hara, and S. Nishio. Semantic relatedness measurement based on wikipedia link co-occurrence analysis. Int’l Journal of Web Information Systems (IJWIS). M Erdmann, K. Nakayama. T Hara, and S. Nishio. Improving the extraction of bilingual terminology from wikipedia. ACM Transactions on Multimedia Computing, Communications and Applications. 5(4):Article 31, 2009. M Ito, T&...
knakayama.com
MIGSOM | Kotaro Nakayama
http://knakayama.com/migsom
Assistant Prof, the University of Tokyo. We implemented a demo system based on MIGSOM with Wikipedia’s hyperlinked. Kotaro Nakayama and Yutaka Matsuo, MIGSOM: A SOM Algorithm for Large Scale Hyperlinked Documents Inspired by Neuronal Migration, in Proc. of International Conference on Database Systems for Advanced Applications (DASFAA), 2014.
knakayama.com
Docterra | Kotaro Nakayama
http://knakayama.com/docterra
Assistant Prof, the University of Tokyo.
knakayama.com
Deep Learning | Kotaro Nakayama
http://knakayama.com/deep-learning
Assistant Prof, the University of Tokyo.
knakayama.com
Profile | Kotaro Nakayama
http://knakayama.com/profile
Assistant Prof, the University of Tokyo. Oct 2000 – Sep. 2003. President and director of “Kansai information institue”. Apr 2002 – Mar. 2004. Lecturer of “Internet architecture” at Doshisha woman colledge. PhD of information science from Osaka University. Apr 2007 – Mar. 2008. Postdoctoral fellow, Osaka University. Apr 2008 – Mar. 2012. Assistant Prof, The University of Tokyo. Apr 2012 –. Assitant Prof (Lecturer Prof), The University of Tokyo. The Imagine Cup World Final: Best 8. Yamashita Research Prize...
knakayama.com
3D-Raven | Kotaro Nakayama
http://knakayama.com/3d-raven
Assistant Prof, the University of Tokyo.
knakayama.com
Kotaro Nakayama | Assistant Prof, the University of Tokyo
http://knakayama.com/ja
Assistant Prof, the University of Tokyo. English) A Deep learning ready GPU programming environment service for education, research and development. English) Popularity forecast for sub-cultural contents with big data analysis. English) Special interest group for deep learning. English) An idea organizer built on Evernote. English) Deep learning lecture series and more. English) Special Interest Group on Wikipedia Mining. 中山浩太郎 東京大学 大学院工学系研究科 特任講師. 人工知能, Web, データベース, 機械学習,. Lisp, vim, Ruby.
jma-ischool.com
i.schoolの特徴 | 日本能率協会|東京大学i.school×JMA イノベーション人材育成ワークショップ
http://jma-ischool.com/about-ischool2
日本能率協会 東京大学i.school JMA イノベーション人材育成ワークショップ TOP. Ischoolでは、人間中心イノベーションの実現に不可欠な 理解 と 創出 実現 の3つのステップを各ワークショップに盛り込み、緩やかに統一された枠組みの下で幅広い方法論や専門知識を活用した教育プログラムが提供されています。 Ischoolのワークショップでは、 新しく なおかつ インパクト 影響力 のある 手段を生み出すことを目標に、情報処理がなされています。