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学習数理情報学研究室(山西研究室)
Showing the original Japanese · View translation
機械学習の理論とデータ分析で、データの奥の知識を見つける研究室。
AboutAbout the lab
学習とは、データを最短に圧縮する戦略。
学習数理情報学研究室は、
理論の
実践の
医療や
Key terms
- MDL原理
- データを
いちばん短く 表せる 説明が いちばん良い、と 考える 情報理論の 基本原理 - データマイニング
- 大量の
データの 中から、 役に 立つ規則や 知識を 掘り出す技術 - 変化検知
- データの
流れの 中で、 これまでと 様子が 変わった 時点や 予兆を 見つけ出す こと
NewsLab news
連続値変数の
正規化最尤符号長の 論文が IEEE Transactions on Information Theory に 採択 オンラインMDP学習の
論文が ICML 2026 に 採択 交絡因子を
もつ因果推論の 論文が ECML-PKDD 2026 に 採択 リーマン空間上の
正規化最尤符号の 論文が IEEE Transactions on Information Theory に 採択 山西教授が
テレコム学際研究賞 （特例 表彰）を 受賞
ResearchResearch themes
大量の
*Illustrative image情報論的学習理論
「機械は
*Illustrative imageデータマイニングの基礎
異常検知や
*Illustrative imageデータマイニングの応用
上の
MembersFaculty
学習数理情報学研究室の
- Professor山西 健司Publications ↗
- Professor鈴木 大慈Publications ↗
- Lecturer久野 遼平Publications ↗
- Assistant Professor土屋 平
- Project Assistant Professor近藤 亮磨
VoicesStudent voices
Compiled from answers by students who were in the lab. Ratings and reviews reflect individual students' experiences, not the lab's official views.
Students who take part in an interview may receive a thank-you gift worth ¥1,000, regardless of what they say.
On a 4-point scale, ● marks where students' answers fall
Who is this lab for?
What's great about this lab?
What did you learn after joining?
What's the vibe, and what is the professor like?
Where do graduates go?
RelatedLabs similar to 学習数理情報学研究室(山西研究室)
The information on this page is compiled by the LabLog team from the lab's public information and interviews. For corrections or removal requests, please contact LabLog, not the lab.
Report an errorAbout the images
The top and research theme images are illustrative and were not taken at the lab. They are cropped from Wikimedia Commons images. Cropped CC BY-SA images are provided under the same CC BY-SA license as the original (version shown on each line).
- Top image: “CERN Server 03” Florian Hirzinger - www.fh-ap.com / CC BY-SA 3.0 (cropped)
- 情報論的学習理論: “Mandel bd” Adam majewski / Public domain (cropped)
- データマイニングの
基礎: “Ba model 1000nodes” Keiono / CC BY 3.0 (cropped) - データマイニングの
応用: “Fundus photograph Retina OS” Ktkvtsh / CC BY-SA 4.0 (cropped) - Related lab (統計情報学研究室): “Beta distribution for 3 different prior probability functions - J. Rodal” Dr. J. Rodal / CC BY-SA 3.0 (cropped)
- Related lab (数理データ科学研究室): “Rosenbrock function 2” RokerHRO / Public domain (cropped)
- Related lab (定兼・伊藤研究室
（数理情報第2研究室） ): “TSP Deutschland 3” The original uploader was Kapitän Nemo at German Wikipedia. / Public domain (cropped) - Related lab (数理生命情報学研究室): “Mouse Embryo Cerebellum ( )” NIH Image Gallery from Bethesda, Maryland, USA / Public domain (cropped)
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