Results 261 to 270 of about 9,484,631 (302)
Some of the next articles are maybe not open access.

What are the statistics in statistical learning?

The Journal of the Acoustical Society of America, 2003
The 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
openaire   +1 more source

Statistical learning

2012
Department of ...
openaire   +1 more source

Statistical Learning via Manifold Learning

2015 IEEE 14th International Conference on Machine Learning and Applications (ICMLA), 2015
A 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
openaire   +1 more source

Statistical Learning and Spelling

Language, Speech, and Hearing Services in Schools, 2018
Purpose 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
openaire   +2 more sources

Statistical Learning Theory: A Primer

International Journal of Computer Vision, 2000
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Theodoros Evgeniou   +2 more
openaire   +2 more sources

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.
openaire   +1 more source

Statistical Learning for Humanoid Robots

Autonomous Robots, 2002
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Sethu Vijayakumar   +4 more
openaire   +2 more sources

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
openaire   +2 more sources

Complete Statistical Theory of Learning

Automation and Remote Control, 2019
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +3 more sources

Machine learning for microbiologists

Nature Reviews Microbiology, 2023
Andrew Maltez Thomas   +2 more
exaly  

Home - About - Disclaimer - Privacy