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What are the statistics in statistical learning?
The Journal of the Acoustical Society of America, 2003The idea that speech perception is shaped by the statistical structure of the input is gaining wide enthusiasm and growing empirical support. Nonetheless, statistics and statistical learning are broad terms with many possible interpretations and, perhaps, many potential underlying mechanisms.
Lori L. Holt, Andrew J. Lotto
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Statistical Learning via Manifold Learning
2015 IEEE 14th International Conference on Machine Learning and Applications (ICMLA), 2015A new geometrically motivated method is proposed for solving the non-linear regression task consisting in constructing a predictive function which estimates an unknown smooth mapping f from q-dimensional inputs to m-dimensional outputs based on a given 'input-output' training pairs. The unknown mapping f determines q-dimensional Regression manifold M(f)
Alexander V. Bernstein +2 more
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Statistical Learning and Spelling
Language, Speech, and Hearing Services in Schools, 2018Purpose The purpose of this article is to provide a tutorial on statistical learning and its role in learning to spell and to discuss the implications of the research for educators. Method The tutorial begins with a discussion of statistical learning and its characteristics. It then
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Statistical Learning Theory: A Primer
International Journal of Computer Vision, 2000zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Theodoros Evgeniou +2 more
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What Is Statistical Learning, and What Statistical Learning Is Not
2009AbstractThis 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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Statistical Learning for Humanoid Robots
Autonomous Robots, 2002zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Sethu Vijayakumar +4 more
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A Survey on Statistical Relational Learning
2010The 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, 2019zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Machine learning for microbiologists
Nature Reviews Microbiology, 2023Andrew Maltez Thomas +2 more
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