Results 231 to 240 of about 71,004,447 (289)
Correction to "Cascading Periods of Language-Related Brain Plasticity across Early Childhood". [PDF]
Dev Scieuropepmc +1 more source
An interpretable machine learning screening model for MoCA-defined possible mild cognitive impairment in rural Xinjiang: a preliminary framework for resource-limited primary care. [PDF]
Front Public HealthLi Y +7 more
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Advances in electrocardiogram signal analytics for person identification using fine-grained fusion-driven deep representation learning under arrhythmic conditions. [PDF]
Front Digit HealthBalkheer M +3 more
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Vividness of visual imagery is associated with perceived clarity of recall but not with accuracy during exams. [PDF]
Front PsycholXing Z, Nicholas A.
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On-line learning of rectangles
Proceedings of the fifth annual workshop on Computational learning theory, 1992This paper solves the following open problem: Is there an algorithm for on-line learning of rectangles i=1Πd{ai,ai+1,…,bi} over a discrete domain {1,…,n}d whose error bound is polylogarithmic in the size nd of the domain (i.e. polynomial in d and log n )?
Zhixiang Chen 0001, Wolfgang Maass 0001
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On-line learning of linear functions
Computational Complexity, 1991zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Nick Littlestone +2 more
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Journal of the American Medical Association, 1954
In its effort to provide public school education for every handicapped, homebound child, the state of Iowa has made extensive use of school-to-home telephone equipment. With the cooperation of physicians, educators, local telephone authorities, and the Executone Corporation, manufacturers of this equipment, "in class" instruction has been extended to ...
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In its effort to provide public school education for every handicapped, homebound child, the state of Iowa has made extensive use of school-to-home telephone equipment. With the cooperation of physicians, educators, local telephone authorities, and the Executone Corporation, manufacturers of this equipment, "in class" instruction has been extended to ...
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Image compression with on-line and off-line learning
Proceedings 2003 International Conference on Image Processing (Cat. No.03CH37429), 2004Images typically contain smooth regions, which are easily compressed by linear transforms, and high activity regions (edges, textures), which are harder to compress. To compress the first kind, we use a "zero" encoder that has infinite context, very low capacity, and which adapts very quickly to the content.
Patrice Y. Simard +3 more
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