-Algebraic Machine Learning: Moving in a New Direction
Machine learning has a long collaborative tradition with several fields of mathematics, such
as statistics, probability and linear algebra. We propose a new direction for machine
learning research: $ C^* $-algebraic ML $-$ a cross-fertilization between $ C^* $-algebra
and machine learning. The mathematical concept of $ C^* $-algebra is a natural
generalization of the space of complex numbers. It enables us to unify existing learning
strategies, and construct a new framework for more diverse and information-rich data …
as statistics, probability and linear algebra. We propose a new direction for machine
learning research: $ C^* $-algebraic ML $-$ a cross-fertilization between $ C^* $-algebra
and machine learning. The mathematical concept of $ C^* $-algebra is a natural
generalization of the space of complex numbers. It enables us to unify existing learning
strategies, and construct a new framework for more diverse and information-rich data …
[CITATION][C] C*-Algebraic Machine Learning: Moving in a New Direction
池田正弘 - Proceedings of The 41th International Conference on …, 2024 - cir.nii.ac.jp
C*-Algebraic Machine Learning: Moving in a New Direction | CiNii Research …
Proceedings of The 41th International Conference on Machine Learning (ICML)
Proceedings of The 41th International Conference on Machine Learning (ICML) - 2024 …
Proceedings of The 41th International Conference on Machine Learning (ICML)
Proceedings of The 41th International Conference on Machine Learning (ICML) - 2024 …
Showing the best results for this search. See all results