Machine Learning Journal Issues Research Articles in August 2021 Edition
August 18, 2021
August 18, 2021
BASEL, Switzerland., Aug. 18 -- 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 August 2021 edition:
Original Papers:
* An empirical comparison between stochastic and deterministic centroid initialisation for K-means variations
* Triply stochastic gradient method for large-scale nonlinear similar un . . .
Original Papers:
* An empirical comparison between stochastic and deterministic centroid initialisation for K-means variations
* Triply stochastic gradient method for large-scale nonlinear similar un . . .