Machine Learning Journal Issues Research Articles in June 2022 Edition
June 01, 2022
June 01, 2022
BASEL, Switzerland., June 1 -- 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 June 2022 edition:
Original Papers:
* JGPR: a computationally efficient multi-target Gaussian process regression algorithm
* Stream-based active learning for sliding windows under the influence of verification latency
Original Papers:
* JGPR: a computationally efficient multi-target Gaussian process regression algorithm
* Stream-based active learning for sliding windows under the influence of verification latency