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On cheap entropy-sparsified regression learning
Regression learning is one of the long-standing problems in statistics, machine learning, and deep learning (DL). We show that writing this problem as a probabilistic expectation over (unknown) feature probabilities – thus increasing the number of unknown parameters and seemingly making the problem...
| Autores principales: | , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
National Academy of Sciences
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9910478/ https://www.ncbi.nlm.nih.gov/pubmed/36580592 http://dx.doi.org/10.1073/pnas.2214972120 |