Results 221 to 230 of about 823,510 (266)
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Statistical learning and prejudice
Behavioral and Brain Sciences, 2012AbstractHuman behavior is guided by evolutionarily shaped brain mechanisms that make statistical predictions based on limited information. Such mechanisms are important for facilitating interpersonal relationships, avoiding dangers, and seizing opportunities in social interaction.
Guy, Madison, Fredrik, Ullén
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Statistical methods in learning
1993In this paper we describe an ESPRIT project known as ‘Stat-Log’ whose purpose is the comparison of learning algorithms. We give a brief summary of some of the algorithms in the project: linear and quadratic discriminant analysis, k nearest neighbour, CART, backpropagation, SMART, ALLOC80 and Pearl's polytree algorithm.
A. Sutherland +4 more
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International Journal of Clinical Monitoring and Computing, 1986
Since at least 1951 anesthesia journals have called for a more rigorous application of statistical methods in research reports. This appeal for statistical excellence actually applies to the researcher, to the clinician journal reader, and to the editor. Thirty five years ago the obligations of these three groups was made clear in an unsigned editorial
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Since at least 1951 anesthesia journals have called for a more rigorous application of statistical methods in research reports. This appeal for statistical excellence actually applies to the researcher, to the clinician journal reader, and to the editor. Thirty five years ago the obligations of these three groups was made clear in an unsigned editorial
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Statistical Learning and Bilingualism
Language, Speech, and Hearing Services in Schools, 2018Purpose Over the last 2 decades, research on statistical learning has demonstrated its importance in supporting language development. Notably, most of the research to date has focused on monolingual populations (or has not reported the language background of participants). Several recent studies, however, have begun to focus on
Federica, Bulgarelli +2 more
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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 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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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 for Humanoid Robots
Autonomous Robots, 2002zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Sethu Vijayakumar +4 more
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