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Kurosawa Lab
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The lab uses statistics to find patterns in data and to study how classification works.
AboutAbout the lab
Finding patterns in seemingly random data.
The Kurosawa Lab uses statistical methods to study mathematical models that describe real-world phenomena.
By finding patterns in data that looks random at first glance, statistical methods make it possible to infer what is acting on the subject of study.
The lab pays particular attention to classification models, which use probability models to represent things such as spam email detection, weather forecasting, and the factors behind people's decisions when they choose products.
Rather than data analysis itself, the lab focuses on theoretical research on evaluation criteria and statistical estimation methods for models related to classification problems, along with the computational methods for them.
Key terms
- Mathematical model
- A representation of real-world phenomena. Statistical methods make it possible to build new models and clarify their statistical properties.
- Classification model
- A model that uses probability to represent a mechanism for dividing objects into several classes, as in email spam detection or weather forecasting.
- Regression model
- A statistical model that includes not only linear regression but also generalized linear models such as logistic regression.
ResearchResearch themes
The lab studies statistical models, centered on regression models, from both theoretical and computational sides, focusing on evaluation criteria and estimation methods. Classification problems appear often in the real world, in forms such as tomorrow's weather or which product a person will choose from a set of products.
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MembersFaculty
- ProfessorTakeshi Kurosawa
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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: “Estimating Greenhouse Gas Concentration from Space using Machine Learning at Laboratoire LMD” Ecole polytechnique / Jérémy Barande / CC BY-SA 2.0 (cropped)
- Model Evaluation and Estimation for Classification: “NOIRLab HQ Server Racks (6V6A0402-CC)” NOIRLab/NSF/AURA/T. Slovinský / CC BY 4.0 (cropped)
- Related lab (村上研究室): “Inspektor India membuat pemeriksaan QC menggunakan mesin AXI” Encik Tekateki / CC BY-SA 4.0 (cropped)
- Related lab (瀬尾研究室): “Mathematician analyzing data. - DPLA - 60af5ced0800f6f7d6c99b5587a9ae0e” Peterson, Jon / Public domain (cropped)
- Related lab (鍋島研究室): “EFTA00001987 - Blackboard filled with chalk drawings and equations including a face sketch and diagrams sits in a room with ornate columns and sculptures” Federal Bureau of Investigation / Public domain (cropped)
- Related lab (中山研究室): “Răstoliţa, train schedule” cs:ŠJů / CC BY-SA 3.0 (cropped)
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