Results 61 to 70 of about 2,910,377 (176)
Statistical Learning in Automated Troubleshooting: Application to LTE Interference Mitigation
, 2010 This paper presents a method for automated healing as part of off-line automated troubleshooting. The method combines statistical learning with constraint optimization.
Altman, Zwi +2 more
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Statistical Learning Signals for Complex Visual Images in Macaque Early Visual Cortex
Frontiers in Neuroscience, 2020 Animals of several species, including primates, learn the statistical regularities of their environment. In particular, they learn the temporal regularities that occur in streams of visual images.
Victor Vergnieux +3 more
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Self-organized learning in multi-layer networks [PDF]
, 2010 We present a framework for the self-organized formation of high level learning by a statistical preprocessing of features. The paper focuses first on the formation of the features in the context of layers of feature processing units as a kind of resource-
Brause, Rüdiger W.
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Frontiers in Psychology, 2014 Targets in a visual search task are detected faster if they appear in a probable target region as compared to a less probable target region, an effect which has been termed probability cueing.
Harriet eGoschy +5 more
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Statistical Learning of Arbitrary Computable Classifiers [PDF]
, 2008 Statistical learning theory chiefly studies restricted hypothesis classes, particularly those with finite Vapnik-Chervonenkis (VC) dimension. The fundamental quantity of interest is the sample complexity: the number of samples required to learn to a ...
Soloveichik, David
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Journal of Statistics and Data Science EducationAs an alternative to college algebra, researchers developed an introductory Data Literacy and Visualization course that fulfills the quantitative literacy requirement for undergraduate students.
Mahbubul Majumder +6 more
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Frontiers in Psychology, 2016 Learning to produce sentences involves learning patterns that enable the generation of new utterances. Language contains both verb-specific and verb-general regularities that are relevant to this capacity.
Malathi eThothathiri +1 more
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Reading as Statistical Learning [PDF]
Language, Speech, and Hearing Services in Schools, 2018 Purpose The purpose of this tutorial is to explain how learning to read can be thought of as learning statistical regularities and to demonstrate why this is relevant for theory, modeling, and practice. This tutorial also shows how triangulation of methods and cross-linguistic research can be used to gain insight.
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Statistical learning in infants [PDF]
Proceedings of the National Academy of Sciences, 2002 Statistical learning has become the subject of some considerable debate within cognitive psychology (1, 2). The debate reached particular prominence with the advent of sophisticated computational models of such learning based on neurally inspired notions of spreading activation within highly distributed systems of interacting units, so-called neural ...
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The Role of Machine Learning in Knowledge-Based Response-Adapted Radiotherapy
Frontiers in Oncology, 2018 With the continuous increase in radiotherapy patient-specific data from multimodality imaging and biotechnology molecular sources, knowledge-based response-adapted radiotherapy (KBR-ART) is emerging as a vital area for radiation oncology personalized ...
Huan-Hsin Tseng +3 more
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