<?xml version="1.0" encoding="utf-8" ?> <rss version="2.0" xmlns:opensearch="http://a9.com/-/spec/opensearch/1.1/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:atom="http://www.w3.org/2005/Atom"> <channel> <title> <![CDATA[Delhi University Library System Search for 'au:&quot;Wichert, Andreas&quot;']]> </title> <!-- prettier-ignore-start --> <link> /cgi-bin/koha/opac-search.pl?idx=&#38;q=au%3A%22Wichert%2C%20Andreas%22&#38;sort_by=title_asc&#38;format=rss </link> <!-- prettier-ignore-end --> <atom:link rel="self" type="application/rss+xml" href="/cgi-bin/koha/opac-search.pl?idx=&#38;q=au%3A%22Wichert%2C%20Andreas%22&#38;sort_by=title_asc&#38;format=rss" /> <description> <![CDATA[ Search results for 'au:&quot;Wichert, Andreas&quot;' at Delhi University Library System]]> </description> <opensearch:totalResults>7</opensearch:totalResults> <opensearch:startIndex>0</opensearch:startIndex> <opensearch:itemsPerPage>50</opensearch:itemsPerPage> <atom:link rel="search" type="application/opensearchdescription+xml" href="/cgi-bin/koha/opac-search.pl?idx=&#38;q=au%3A%22Wichert%2C%20Andreas%22&#38;sort_by=title_asc&#38;format=opensearchdescription" /> <opensearch:Query role="request" searchTerms="idx%3D%26q%3Dau%253A%2522Wichert%252C%2520Andreas%2522" startPage="" /> <item> <title> Intelligent Big Multimedia Databases </title> <dc:identifier>ISBN:9789814696654</dc:identifier> <!-- prettier-ignore-start --> <link>/cgi-bin/koha/opac-detail.pl?biblionumber=1542434</link> <!-- prettier-ignore-end --> <description> <![CDATA[ <img src="https://images-na.ssl-images-amazon.com/images/P/981469665X.01.TZZZZZZZ.jpg" alt="" /> ]]> <![CDATA[ <p> By Wichert Andreas Miroslaus.<br /> World Scientific | WSPC 2015 9789814696654 </p> ]]> <![CDATA[ <p> <a href="/cgi-bin/koha/opac-reserve.pl?biblionumber=1542434">Place hold on <em>Intelligent Big Multimedia Databases</em></a> </p> ]]> </description> <guid>/cgi-bin/koha/opac-detail.pl?biblionumber=1542434</guid> </item> <item> <title> Machine Learning - a Journey to Deep Learning: with Exercises and Answers </title> <dc:identifier>ISBN:9789811234064</dc:identifier> <!-- prettier-ignore-start --> <link>/cgi-bin/koha/opac-detail.pl?biblionumber=1540346</link> <!-- prettier-ignore-end --> <description> <![CDATA[ <img src="https://images-na.ssl-images-amazon.com/images/P/981123406X.01.TZZZZZZZ.jpg" alt="" /> ]]> <![CDATA[ <p> By Wichert Andreas &amp; Sa-Couto Luis.<br /> World Scientific | WSPC 2021 9789811234064 </p> ]]> <![CDATA[ <p> <a href="/cgi-bin/koha/opac-reserve.pl?biblionumber=1540346">Place hold on <em>Machine Learning - a Journey to Deep Learning: with Exercises and Answers</em></a> </p> ]]> </description> <guid>/cgi-bin/koha/opac-detail.pl?biblionumber=1540346</guid> </item> <item> <title> Machine learning : A journey to deep learning with exercises and answers </title> <dc:identifier>ISBN:9798886130706</dc:identifier> <!-- prettier-ignore-start --> <link>/cgi-bin/koha/opac-detail.pl?biblionumber=1430536</link> <!-- prettier-ignore-end --> <description> <![CDATA[ <p> By Wichert, Andreas.<br /> New Jersey : World Scientific, 2024 .<br /> xvi, 614p. 9798886130706 </p> ]]> <![CDATA[ <p> <a href="/cgi-bin/koha/opac-reserve.pl?biblionumber=1430536">Place hold on <em>Machine learning :</em></a> </p> ]]> </description> <guid>/cgi-bin/koha/opac-detail.pl?biblionumber=1430536</guid> </item> <item> <title> Machine Learning : Journey to Deep Learning </title> <dc:identifier>ISBN:9798886130706</dc:identifier> <!-- prettier-ignore-start --> <link>/cgi-bin/koha/opac-detail.pl?biblionumber=1432926</link> <!-- prettier-ignore-end --> <description> <![CDATA[ <p> By Wichert , Andreas .<br /> London : World Scientific, 2024 .<br /> xvi, 624p. , Includes bibliography and index. ; 23 cm..<br /> 9798886130706 </p> ]]> <![CDATA[ <p> <a href="/cgi-bin/koha/opac-reserve.pl?biblionumber=1432926">Place hold on <em>Machine Learning</em></a> </p> ]]> </description> <guid>/cgi-bin/koha/opac-detail.pl?biblionumber=1432926</guid> </item> <item> <title> Machine Learning A Journey to Deep Learning: with Exercise and Answers </title> <dc:identifier>ISBN:9798886130706</dc:identifier> <!-- prettier-ignore-start --> <link>/cgi-bin/koha/opac-detail.pl?biblionumber=1430975</link> <!-- prettier-ignore-end --> <description> <![CDATA[ <p> By Wichert, Andreas.,.<br /> London: World Scientific, 2024 .<br /> xvi,624p. 9798886130706 </p> ]]> <![CDATA[ <p> <a href="/cgi-bin/koha/opac-reserve.pl?biblionumber=1430975">Place hold on <em>Machine Learning A Journey to Deep Learning:</em></a> </p> ]]> </description> <guid>/cgi-bin/koha/opac-detail.pl?biblionumber=1430975</guid> </item> <item> <title> Principles of Quantum Artificial Intelligence </title> <dc:identifier>ISBN:9789814566759</dc:identifier> <!-- prettier-ignore-start --> <link>/cgi-bin/koha/opac-detail.pl?biblionumber=1542952</link> <!-- prettier-ignore-end --> <description> <![CDATA[ <img src="https://images-na.ssl-images-amazon.com/images/P/9814566756.01.TZZZZZZZ.jpg" alt="" /> ]]> <![CDATA[ <p> By Wichert Andreas.<br /> World Scientific | WSPC 2013 9789814566759 </p> ]]> <![CDATA[ <p> <a href="/cgi-bin/koha/opac-reserve.pl?biblionumber=1542952">Place hold on <em>Principles of Quantum Artificial Intelligence</em></a> </p> ]]> </description> <guid>/cgi-bin/koha/opac-detail.pl?biblionumber=1542952</guid> </item> <item> <title> Principles of Quantum Artificial Intelligence: Quantum Problem Solving and Machine Learning Second Edition </title> <dc:identifier>ISBN:9789811224317</dc:identifier> <!-- prettier-ignore-start --> <link>/cgi-bin/koha/opac-detail.pl?biblionumber=1540550</link> <!-- prettier-ignore-end --> <description> <![CDATA[ <img src="https://images-na.ssl-images-amazon.com/images/P/9811224315.01.TZZZZZZZ.jpg" alt="" /> ]]> <![CDATA[ <p> By Wichert Andreas.<br /> World Scientific | WSPC 2020 9789811224317 </p> ]]> <![CDATA[ <p> <a href="/cgi-bin/koha/opac-reserve.pl?biblionumber=1540550">Place hold on <em>Principles of Quantum Artificial Intelligence: Quantum Problem Solving and Machine Learning Second Edition</em></a> </p> ]]> </description> <guid>/cgi-bin/koha/opac-detail.pl?biblionumber=1540550</guid> </item> </channel> </rss>
