Review of ‘A Computational Approach to Statistical Learning’ by TaylorArnold, MichaelKane, Bryan W.Lewis, 2019, Chapman & Hall/CRC, Boca Raton, FL, xiii + 361 pp., $110.00, ISBN‐13 978‐1‐138‐04637‐5

2021 ◽  
Author(s):  
Mark P. Little
Keyword(s):  
Statistical Learning ◽  
Computational Approach

scholarly journals Understanding the liver under heat stress with statistical learning: an integrated metabolomics and transcriptomics computational approach

BMC Genomics ◽  
2019 ◽  
Vol 20 (1) ◽  
Author(s):  
Allen H. Hubbard ◽  
Xiaoke Zhang ◽  
Sara Jastrebski ◽  
Abhyudai Singh ◽  
Carl Schmidt
Keyword(s):  
Heat Stress ◽  
Statistical Learning ◽  
Computational Approach ◽  
Integrated Metabolomics

A Computational Approach to Statistical Learning

2019 ◽  
Author(s):  
Taylor Arnold ◽  
Michael Kane ◽  
Bryan W. Lewis
Keyword(s):  
Statistical Learning ◽  
Computational Approach

scholarly journals A Computational Approach to Statistical Learning

CHANCE ◽  
2020 ◽  
Vol 33 (3) ◽  
pp. 61-62
Author(s):  
Christian Robert
Keyword(s):  
Statistical Learning ◽  
Computational Approach

scholarly journals Statistical learning of phonetic categories: insights from a computational approach

2009 ◽  
Vol 12 (3) ◽  
pp. 369-378 ◽  
Author(s):  
Bob McMurray ◽  
Richard N. Aslin ◽  
Joseph C. Toscano
Keyword(s):  
Statistical Learning ◽  
Computational Approach ◽  
Phonetic Categories

Application of Modified Bloch Waves to Image Analysis of Extended Linear Defects

1974 ◽  
Vol 32 ◽  
pp. 402-403
Author(s):  
S. Nakahara ◽  
D. M. Maher
Keyword(s):  
Image Analysis ◽  
Computational Approach ◽  
Dislocation Loops ◽  
Plane Wave Expansion ◽  
Dynamical Equations ◽  
Bloch Waves ◽  
Linear Defects ◽  
Imperfect Crystal ◽  
Localized Defects ◽  
Defective Crystals

Since Head first demonstrated the advantages of computer displayed theoretical intensities from defective crystals, computer display techniques have become important in image analysis. However the computational methods employed resort largely to numerical integration of the dynamical equations of electron diffraction. As a consequence, the interpretation of the results in terms of the defect displacement field and diffracting variables is difficult to follow in detail. In contrast to this type of computational approach which is based on a plane-wave expansion of the excited waves within the crystal (i.e. Darwin representation ), Wilkens assumed scattering of modified Bloch waves by an imperfect crystal. For localized defects, the wave amplitudes can be described analytically and this formulation has been used successfully to predict the black-white symmetry of images arising from small dislocation loops.

Rapid Serial Auditory Presentation

2015 ◽  
Vol 62 (5) ◽  
pp. 346-351 ◽  
Author(s):  
Ana Franco ◽  
Julia Eberlen ◽  
Arnaud Destrebecqz ◽  
Axel Cleeremans ◽  
Julie Bertels
Keyword(s):  
Statistical Learning ◽  
Reaction Times ◽  
Visual Presentation ◽  
Detection Task ◽  
Speech Segmentation ◽  
Auditory Presentation ◽  
Indirect Measure ◽  
Speech Stream ◽  
Adult Participants ◽  
Presentation Procedure

Abstract. The Rapid Serial Visual Presentation procedure is a method widely used in visual perception research. In this paper we propose an adaptation of this method which can be used with auditory material and enables assessment of statistical learning in speech segmentation. Adult participants were exposed to an artificial speech stream composed of statistically defined trisyllabic nonsense words. They were subsequently instructed to perform a detection task in a Rapid Serial Auditory Presentation (RSAP) stream in which they had to detect a syllable in a short speech stream. Results showed that reaction times varied as a function of the statistical predictability of the syllable: second and third syllables of each word were responded to faster than first syllables. This result suggests that the RSAP procedure provides a reliable and sensitive indirect measure of auditory statistical learning.

Statistical Learning of Implicit Regularity Correlates With Acquisition of Chinese Literacy as a Second Language

2012 ◽  
Author(s):  
Denise H. Wu ◽  
Esther H.-Y. Shih ◽  
Ram Frost ◽  
Jun Ren Lee ◽  
Chiaying Lee ◽  
...  
Keyword(s):  
Second Language ◽  
Statistical Learning

Constraints on Statistical Learning: Active Adjoinment and Task Set

2011 ◽  
Author(s):  
John L. Jones ◽  
Michael P. Kaschak
Keyword(s):  
Statistical Learning ◽  
Task Set ◽  
And Task
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