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What Is Statistical Learning, and What Statistical Learning Is Not

2009
AbstractThis chapter discusses statistical learning and its role in language acquisition. It focuses on three issues that are implicit in this characterization of statistical learning: the nature of the computations, the complexity of the learning problem, and the role of artificial languages.
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A Survey on Statistical Relational Learning

2010
The vast majority of work in Machine Learning has focused on propositional data which is assumed to be identically and independently distributed, however, many real world datasets are relational and most real world applications are characterized by the presence of uncertainty and complex relational structure where the data distribution is neither ...
Hassan Khosravi, Bahareh Bina
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Complete Statistical Theory of Learning

Automation and Remote Control, 2019
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Machine learning for microbiologists

Nature Reviews Microbiology, 2023
Andrew Maltez Thomas   +2 more
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Machine learning methods to model multicellular complexity and tissue specificity

Nature Reviews Materials, 2021
Olga Troyanskaya   +2 more
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Machine learning sheds light on microbial dark proteins

Nature Reviews Microbiology, 2023
Crysten Blaby   +2 more
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Deep learning shapes single-cell data analysis

Nature Reviews Molecular Cell Biology, 2022
Dong Xu, Qin Ma
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Generalizing from a Few Examples

ACM Computing Surveys, 2021
Yao Quanming   +2 more
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