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  <titleInfo>
    <title>Machine learning</title>
    <subTitle>an algorithmic perspective</subTitle>
  </titleInfo>
  <name type="personal">
    <namePart>Marsland, Stephen</namePart>
    <role>
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  <originInfo>
    <place>
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    <dateIssued encoding="marc">2015</dateIssued>
    <edition>Second edition.</edition>
    <issuance>monographic</issuance>
  </originInfo>
  <language>
    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
  </language>
  <physicalDescription>
    <form authority="marcform">print</form>
    <extent>xx, 437 pages : illustrations ; 25 cm.</extent>
  </physicalDescription>
  <tableOfContents>Introduction -- Preliminaries -- Neurons, neural networks, and linear discriminants -- The multi-layer perceptron -- Radial basis functions and splines -- Dimensionality reduction -- Probabilistic learning -- Support vector machines -- Optimisation and search -- Evolutionary learning -- Reinforcement learning -- Learning with trees -- Decision by committee: ensemble learning -- Unsupervised learning -- Markov chain Monte Carlo (MCMC) methods -- Graphical models -- Symmetric weights and deep belief networks -- Gaussian processes -- Python.</tableOfContents>
  <note type="statement of responsibility">Stephen Marsland.</note>
  <note>"A Chapman &amp; Hall book."</note>
  <note>Includes bibliographical references and index.</note>
  <subject authority="lcsh">
    <topic>Machine learning</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Algorithms</topic>
  </subject>
  <classification authority="lcc">Q325.5 .M368 2015</classification>
  <classification authority="ddc">006.31 MAR/M</classification>
  <relatedItem type="series">
    <titleInfo>
      <title>Chapman &amp; Hall/CRC machine learning &amp; pattern recognition series</title>
    </titleInfo>
  </relatedItem>
  <identifier type="isbn">9781466583283 (hbk)</identifier>
  <identifier type="isbn">1466583282 (hbk)</identifier>
  <identifier type="lccn" invalid="yes">2014434325</identifier>
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    <recordIdentifier source="OSt">18556845</recordIdentifier>
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