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計算知能システム(連携ユニット)
Showing the original Japanese · View translation
予測できて、しかも説明できる機械学習の手法をつくる研究室。

AboutAbout the lab
データから、確かで説明できる知識を。
計算知能システム
Key terms
- ガウス過程回帰
- 予測の
値と、 その 不確かさを 一緒に 出せる 機械学習の 回帰の 手法 - 変分オートエンコーダ
- データの
背後に ある 隠れた 要因を 学び、 データを 生成できる 深層学習の モデル - スパイク
- 神経細胞が
情報を 伝える ときに 出す、 短い 電気信号
ResearchResearch themes
機械学習の
*Illustrative image説明できるガウス過程回帰
ガウス過程回帰は
*Illustrative image神経活動を表す生成モデル
多くの
MembersFaculty
- Affiliated Professor岩田 具治
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: “Visualizing Artificial Neural Networks (ANNs) with python library-ANN Visualizer” Serenechan3 / CC BY-SA 4.0 (cropped)
- 説明できる
ガウス過程回帰: “Example of kriging interpolation in 1D” Antro5 / CC BY-SA 3.0 (cropped) - 神経
活動を 表す生成モデル: “CajalHippocampus (modified)” original: Santiago Ramón y Cajal (1852–1934) derivative = Looie496 / Public domain (cropped) - Related lab (計算論的認知神経科学
(連携ユニット) ): “Anatomical model of human brain, Wellcome L0010009” Wellcome Images / CC BY 4.0 (cropped) - Related lab (教育情報学 分野): “Future School” Rasica03 / CC BY-SA 4.0 (cropped)
- Related lab (大規模データ活用基盤 分野): “Groß und klein” Friedrich Haag / CC BY-SA 4.0 (cropped)
- Related lab (医療健康データ科学 分野): “Medical technician using ultrasound equipment in a clinical setting” Shixart1985 / CC BY 2.0 (cropped)
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