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Pseudo-Representation Labeling Semi-Supervised Learning
In recent years, semi-supervised learning (SSL) has shown tremendous success in leveraging unlabeled data to improve the performance of deep learning models, which significantly reduces the demand for large amounts of labeled data.
Optimization by Pairwise Linkage Detection, Incremental Linkage Set, and Restricted / Back Mixing: DSMGA-II
A new linkage model, called the incremental linkage set, is then constructed by using the DSM.
Theoretical Perspective of Convergence Complexity of Evolutionary Algorithms Adopting Optimal Mixing
The derived models also indicate that population sizing is decided by initial supply when disjoint masks are adopted, that the high selection pressure imposed by OM makes the composition of sub-problems impact little on NFE, and that the population size requirement for two-layer masks increases with the reverse-growth probability.
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