Human-level concept learning through probabilistic program induction
Human-level concept learning through probabilistic program induction
About this item
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Author / Creator
Publisher
United States: American Association for the Advancement of Science
Journal title
Language
English
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Publication information
Publisher
United States: American Association for the Advancement of Science
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Scope and Contents
Contents
People learning new concepts can often generalize successfully from just a single example, yet machine learning algorithms typically require tens or hundreds of examples to perform with similar accuracy. People can also use learned concepts in richer ways than conventional algorithms—for action, imagination, and explanation. We present a computatio...
Alternative Titles
Full title
Human-level concept learning through probabilistic program induction
Authors, Artists and Contributors
Author / Creator
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Record Identifier
TN_cdi_proquest_miscellaneous_1825574790
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_1825574790
Other Identifiers
ISSN
0036-8075
E-ISSN
1095-9203
DOI
10.1126/science.aab3050
