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幸島 匡宏 研究室
Showing the original Japanese · View translation
不完全な実世界のデータから学習する機械学習の研究室。
AboutAbout the lab
不完全なデータから、学べる機械学習へ。
幸島匡宏研究室は、
機械学習が
NTT連携研究室で、
希望する
Key terms
- 機械学習
- コンピュータが
大量の データから 学習し、 データに 潜むルールや パターンを 自動的に 発見できるように する 技術 - 遷移確率
- ある
地点から 別の 地点へ 移る 確率。 この 研究室では、 不完全な 移動データから 推定する - 回帰分析
- 入力変数と
出力変数の 定量的な 関係を 把握する 分析。 例えば、 勉強時間と 試験の スコアの 関係を 調べる
ResearchResearch themes
この
*Illustrative image不完全な移動データからの学習
位置情報データは、
*Illustrative image不完全な入出力データからの学習
入力と
MembersFaculty
- Affiliated Associate Professor幸島 匡宏
VoicesStudent voices
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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: “Machine Learning cookies” Syced / CC0 (cropped)
- 不完全な
移動データからの 学習: “Applications of Elk Location Data ( )” USFWS Mountain Prairie / Public domain (cropped) - 不完全な
入出力データからの 学習: “Feature Learning Diagram” Fgpacini / CC BY-SA 4.0 (cropped) - Related lab (植野 真臣 研究室): “Bayesian network” Sachs K, Gifford D, Jaakkola T, Sorger P, Lauffenburger DA. / CC BY-SA 4.0 (cropped)
- Related lab (折原 良平 研究室): “Young people in Hong Kong using smartphones whilst walking” Ccmsharma2 / CC BY-SA 4.0 (cropped)
- Related lab (原 聡 研究室): “Client Project Hashcat Testing With an AMD Epyc Supermicro Nvidia GPU Server Using Proxmox (Lawrence Systems) 07” Lawrence Systems / CC BY 3.0 (cropped)
- Related lab (原田 慧 研究室): “Real-time bus tracking control room in Lebanon” UrusHyby / CC0 (cropped)
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