Micro-Data Learning: The Other End of the Spectrum

Abstract : Many fields are now snowed under with an avalanche of data, which raises considerable challenges for computer scientists. Meanwhile, robotics (among other fields) can often only use a few dozen data points because acquiring them involves a process that is expensive or time-consuming. How can an algorithm learn with only a few data points?
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https://hal.inria.fr/hal-01374786
Contributor : Jean-Baptiste Mouret <>
Submitted on : Saturday, October 1, 2016 - 1:17:31 PM
Last modification on : Tuesday, December 18, 2018 - 4:40:22 PM
Long-term archiving on : Monday, January 2, 2017 - 12:55:02 PM

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  • HAL Id : hal-01374786, version 1
  • ARXIV : 1610.00946

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Jean-Baptiste Mouret. Micro-Data Learning: The Other End of the Spectrum. ERCIM News, ERCIM, 2016, pp.2. ⟨hal-01374786⟩

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