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  <front>
    <journal-meta>
      <journal-id>authorea</journal-id>
      <publisher>
        <publisher-name>Authorea</publisher-name>
      </publisher>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="doi">10.36227/techrxiv.172710259.97965296/v2</article-id>
      <title-group>
        <article-title/>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author" corresp="yes">
          <contrib-id contrib-id-type="orcid">0000-0001-6361-1456</contrib-id>
          <name>
            <surname>Zhou</surname>
            <given-names>Yonghang</given-names>
          </name>
        </contrib>
        <contrib contrib-type="author" corresp="no">
          <name>
            <surname>Zhu</surname>
            <given-names>Hongyi</given-names>
          </name>
        </contrib>
        <contrib contrib-type="author" corresp="no">
          <name>
            <surname>Chai</surname>
            <given-names>Yidong</given-names>
          </name>
        </contrib>
        <contrib contrib-type="author" corresp="no">
          <name>
            <surname>Jiang</surname>
            <given-names>Yuanchun</given-names>
          </name>
        </contrib>
        <contrib contrib-type="author" corresp="no">
          <name>
            <surname>Liu</surname>
            <given-names>Yezheng</given-names>
          </name>
        </contrib>
      </contrib-group>
      <pub-date date-type="preprint" publication-format="electronic">
        <day>7</day>
        <month>10</month>
        <year>2024</year>
      </pub-date>
      <self-uri xlink:href="https://doi.org/10.36227/techrxiv.172710259.97965296/v2">This preprint is available at https://doi.org/10.36227/techrxiv.172710259.97965296/v2</self-uri>
      <kwd-group kwd-group-type="author-created">
        <kwd>deep kernel learning</kwd>
        <kwd>ensemble learning</kwd>
        <kwd>gaussian process</kwd>
        <kwd>general topics for engineers</kwd>
        <kwd>model uncertainty</kwd>
        <kwd>web attack detection</kwd>
      </kwd-group>
    </article-meta>
  </front>
</article>
