<?xml version='1.0' encoding='utf-8'?>
<?xml-stylesheet type="text/xsl" href="/v2/static/oai2.xsl"?>
<OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd">
  <responseDate>2026-10-11T21:45:28Z</responseDate>
  <request identifier="oai:figshare.com:article/34026520" metadataPrefix="oai_dc" verb="GetRecord">https://api.figshare.com/v2/oai</request>
  <GetRecord>
    <record>
      <header>
        <identifier>oai:figshare.com:article/34026520</identifier>
        <datestamp>2026-09-29T17:32:15Z</datestamp>
        <setSpec>category_1</setSpec>
        <setSpec>category_7</setSpec>
        <setSpec>category_15</setSpec>
        <setSpec>category_39</setSpec>
        <setSpec>category_734</setSpec>
        <setSpec>category_931</setSpec>
        <setSpec>category_106</setSpec>
        <setSpec>portal_5</setSpec>
        <setSpec>item_type_3</setSpec>
        <setSpec>month_year_09_2026</setSpec>
      </header>
      <metadata>
        <oai_dc:dc xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"  xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
          <dc:title>&lt;p&gt;Retraining sets. The setup is based on the respective time series frequency.&lt;/p&gt;</dc:title>
          <dc:creator>Marco Zanotti (25138363)</dc:creator>
          <dc:subject>Biophysics</dc:subject>
          <dc:subject>Medicine</dc:subject>
          <dc:subject>Neuroscience</dc:subject>
          <dc:subject>Ecology</dc:subject>
          <dc:subject>Biological Sciences not elsewhere classified</dc:subject>
          <dc:subject>Information Systems not elsewhere classified</dc:subject>
          <dc:subject>Science Policy</dc:subject>
          <dc:subject>xlink "&gt; given</dc:subject>
          <dc:subject>varying retraining frequencies</dc:subject>
          <dc:subject>sustainable artificial intelligence</dc:subject>
          <dc:subject>scale retail datasets</dc:subject>
          <dc:subject>extremely relevant topic</dc:subject>
          <dc:subject>time series forecasting</dc:subject>
          <dc:subject>efficient forecasting systems</dc:subject>
          <dc:subject>driven ensembles offer</dc:subject>
          <dc:subject>achieving competitive accuracy</dc:subject>
          <dc:subject>substantial computational cost</dc:subject>
          <dc:subject>driven ensembles</dc:subject>
          <dc:subject>forecasting models</dc:subject>
          <dc:subject>small ensembles</dc:subject>
          <dc:subject>computational cost</dc:subject>
          <dc:subject>three models</dc:subject>
          <dc:subject>strong balance</dc:subject>
          <dc:subject>probabilistic settings</dc:subject>
          <dc:subject>optimized combinations</dc:subject>
          <dc:subject>optimal results</dc:subject>
          <dc:subject>often sufficient</dc:subject>
          <dc:subject>minimal impact</dc:subject>
          <dc:subject>gains come</dc:subject>
          <dc:subject>ensemble learning</dc:subject>
          <dc:subject>deploying scalable</dc:subject>
          <dc:subject>dataset sizes</dc:subject>
          <dc:subject>continuous increase</dc:subject>
          <dc:subject>broader goals</dc:subject>
          <dc:subject>achieve near</dc:subject>
          <dc:description>&lt;p&gt;Retraining sets. The setup is based on the respective time series frequency.&lt;/p&gt;</dc:description>
          <dc:date>2026-09-29T17:31:59Z</dc:date>
          <dc:type>Dataset</dc:type>
          <dc:type>Dataset</dc:type>
          <dc:identifier>10.1371/journal.pone.0336281.t004</dc:identifier>
          <dc:relation>https://figshare.com/articles/dataset/_p_Retraining_sets_The_setup_is_based_on_the_respective_time_series_frequency_p_/34026520</dc:relation>
          <dc:rights>CC BY 4.0</dc:rights>
        </oai_dc:dc>
      </metadata>
    </record>
  </GetRecord>
</OAI-PMH>
