Machine Learning Journal Issues Research Articles in February 2024 Edition
February 24, 2024
February 24, 2024
BASEL, Switzerland., Feb. 24 -- Machine Learning, a peer-reviewed journal that says it provides support via studies, theoretical analysis, or comparison to psychological phenomena, published research articles on the following topics in its February 2024 edition (Vol. 113, Issue 2):
* A general framework for the practical disintegration of PAC-Bayesian bounds
* Softmin discrete minimax classifier for imbalanced classes and prior probability shifts
* Model-ba . . .
* A general framework for the practical disintegration of PAC-Bayesian bounds
* Softmin discrete minimax classifier for imbalanced classes and prior probability shifts
* Model-ba . . .