Introduction
This group focuses on Machine Learning approaches, with the aim of establishing new mathematical foundations of intelligent systems.
Machine learning is the academic field concerned with the development of algorithmic techniques that can extract knowledge from available data, and, in doing so, can provide principled approaches to analyze new, unseen data.
The members of our group investigate theoretical foundations and implementations of such tools, using different approaches such as: computation theory; non-parametric statistics; optimization theory. We are knowledge discovery, and clarify relationships between machine learning, mathematical logic, and algebra.
Handout for Undergraduate Students written in Japanese (2025)
Prof. Yamamoto’s Final Lecture
Professor Yamamoto’s final lecture will be held as follows:
Date and Time: Thursday,March 19, 2026, 16:30–18:00
Venue: NS Hall, 3rd Floor, Research Building No. 8, Yoshida Campus, Kyoto University
Title: Seeking the Interface Between Mathematical Logic and Machine Learning
The final lecture is open to the public and does not require prior registration.
We sincerely look forward to your participation.