Machine Learning
SCIE-ISI SCOPUS (1986-2025)
1573-0565
0885-6125
Cơ quản chủ quản: Springer Netherlands , SPRINGER
Lĩnh vực:
SoftwareArtificial Intelligence
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Các bài báo tiêu biểu
A survey on semi-supervised learning
Tập 109 Số 2 - Trang 373-440 - 2020
AbstractSemi-supervised learning is the branch of machine learning concerned
with using labelled as well as unlabelled data to perform certain learning
tasks. Conceptually situated between supervised and unsupervised learning, it
permits harnessing the large amounts of unlabelled data available in many use
cases in combination with typically smaller sets of labelled data. In recent
years, research...
The max-min hill-climbing Bayesian network structure learning algorithm
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Is Combining Classifiers with Stacking Better than Selecting the Best One?
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