Probabilistic Sequence Learning
Probabilistic Sequence Learning is a form of sequence learning in which the acquisition of sequential patterns occurs under conditions of uncertainty, distinguished by the learner’s implicit inference of statistical regularities and transitional probabilities among elements in a sequence.
98
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7.5K
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318
Authors
157
Institutions
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2017–2026
25
98
Sequence Transduction with Recurrent Neural Networks
Alex Graves · arXiv (Cornell University) · 2012 · 1.3K citations · Full text
Rachel Swainson, Robert D. Rogers, Barbara J. Sahakian et al. · Neuropsychologia · 2000 · 503 citations
Medicine, Neurology, Neuroscience +17
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157

Eötvös Loránd University
Budapest, Hungary
12 h-index
31 publications
1.3K citations
Georgetown University
Washington, United States
9 h-index
18 publications
1.5K citations

University of Szeged
Szeged, Hungary
9 h-index
26 publications
2.4K citations
HUN-REN Research Centre for Natural Sciences
Budapest, Hungary
8 h-index
26 publications
1K citations
Institute of Cognitive Neuroscience and Psychology
Budapest, Hungary
8 h-index
19 publications
701 citations
Université Claude Bernard Lyon 1
Villeurbanne, France
6 h-index
14 publications
388 citations
Inserm
Paris, France
6 h-index
16 publications
381 citations
University College London
London, United Kingdom
6 h-index
13 publications
913 citations
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8 publications · 327 citations
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4 publications · 472 citations
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Repository · 4 publications · 1.3K citations
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3 publications · 346 citations
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3 publications · 169 citations
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