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  <titleInfo>
    <title>Sparse modeling</title>
    <subTitle>theory, algorithms, and applications</subTitle>
  </titleInfo>
  <name type="personal">
    <namePart>Rish, Irina.</namePart>
    <role>
      <roleTerm authority="marcrelator" type="text">creator</roleTerm>
    </role>
  </name>
  <name type="personal">
    <namePart>Grabarnik, Genady Ya.</namePart>
    <role>
      <roleTerm type="text">jt. aut.</roleTerm>
    </role>
  </name>
  <typeOfResource>text</typeOfResource>
  <genre authority="marc">bibliography</genre>
  <originInfo>
    <place>
      <placeTerm type="code" authority="marccountry">enk</placeTerm>
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    <dateIssued encoding="marc">2015</dateIssued>
    <issuance>monographic</issuance>
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  <language>
    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
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  <physicalDescription>
    <form authority="marcform">print</form>
    <extent>xviii, 231 p. :  ill. (some col.) ;  24 cm.</extent>
  </physicalDescription>
  <tableOfContents>1. Introduction -- 2. Sparse recovery : problem formulations -- 3. Theoretical results (deterministic part) -- 4. Theoretical results (probabilistic part) -- 5. Algorithms for sparse recovery problems -- 6. Beyond LASSO : structured sparsity -- 7. Beyond LASSO : other loss functions -- 8. Sparse graphical models -- 9. Sparse matrix factorization : dictionary learning and beyond.</tableOfContents>
  <note type="statement of responsibility">Irina Rish, Genady Ya. Grabarnik.</note>
  <note>Includes bibliographical references and index.</note>
  <note>Also available in electronic format.</note>
  <subject authority="lcsh">
    <topic>Mathematical models</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Sampling (Statistics)</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Sparse matrices</topic>
  </subject>
  <classification authority="lcc">TA342 .R57 2015</classification>
  <classification authority="ddc">511.8 RIS</classification>
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    <titleInfo>
      <title>Chapman &amp; Hall/CRC machine learning &amp; pattern recognition series</title>
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  <relatedItem type="series">
    <titleInfo>
      <title>Chapman &amp; Hall/CRC machine learning &amp; pattern recognition series</title>
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  <identifier type="isbn">9781439828694 (hbk)</identifier>
  <identifier type="lccn">2015304696</identifier>
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    <recordCreationDate encoding="marc">150526</recordCreationDate>
    <recordChangeDate encoding="iso8601">20210303153218.0</recordChangeDate>
    <recordIdentifier source="BD-DhUL">18631946</recordIdentifier>
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