HIGHLIGHTS
- who: Juan Carlos Laria and collaborators from the Department of Statistics, University III of Madrid, Calle Madrid, Getafe, Spain have published the article: A Generalized Linear Joint Trained Framework for Semi-Supervised Learning of Sparse Features, in the Journal: Mathematics 2022, 10, 3001. of 25/07/2022
- what: This interest can be seen in the various review articles showing how several techniques developed in the fields of statistics and machine_learning have been adapted to the semi-supervised framework . In this article, a methodological and algorithmic approach called s2 net is developed to extend the elastic . . .
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