000 | 02991nam a22005175i 4500 | ||
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001 | 978-3-031-01562-5 | ||
003 | DE-He213 | ||
005 | 20240730163629.0 | ||
007 | cr nn 008mamaa | ||
008 | 220601s2013 sz | s |||| 0|eng d | ||
020 |
_a9783031015625 _9978-3-031-01562-5 |
||
024 | 7 |
_a10.1007/978-3-031-01562-5 _2doi |
|
050 | 4 | _aQ334-342 | |
050 | 4 | _aTA347.A78 | |
072 | 7 |
_aUYQ _2bicssc |
|
072 | 7 |
_aCOM004000 _2bisacsh |
|
072 | 7 |
_aUYQ _2thema |
|
082 | 0 | 4 |
_a006.3 _223 |
100 | 1 |
_aLópez, Beatriz. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _979611 |
|
245 | 1 | 0 |
_aCase-Based Reasoning _h[electronic resource] : _bA Concise Introduction / _cby Beatriz López. |
250 | _a1st ed. 2013. | ||
264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2013. |
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300 |
_aXV, 87 p. _bonline resource. |
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336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
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338 |
_aonline resource _bcr _2rdacarrier |
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347 |
_atext file _bPDF _2rda |
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490 | 1 |
_aSynthesis Lectures on Artificial Intelligence and Machine Learning, _x1939-4616 |
|
505 | 0 | _aIntroduction -- The Case-Base -- Reasoning and Decision Making -- Learning -- Formal Aspects -- Summary and Beyond. | |
520 | _aCase-based reasoning is a methodology with a long tradition in artificial intelligence that brings together reasoning and machine learning techniques to solve problems based on past experiences or cases. Given a problem to be solved, reasoning involves the use of methods to retrieve similar past cases in order to reuse their solution for the problem at hand. Once the problem has been solved, learning methods can be applied to improve the knowledge based on past experiences. In spite of being a broad methodology applied in industry and services, case-based reasoning has often been forgotten in both artificial intelligence and machine learning books. The aim of this book is to present a concise introduction to case-based reasoning providing the essential building blocks for the design of case-based reasoning systems, as well as to bring together the main research lines in this field to encourage students to solve current CBR challenges. | ||
650 | 0 |
_aArtificial intelligence. _93407 |
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650 | 0 |
_aMachine learning. _91831 |
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650 | 0 |
_aNeural networks (Computer science) . _979612 |
|
650 | 1 | 4 |
_aArtificial Intelligence. _93407 |
650 | 2 | 4 |
_aMachine Learning. _91831 |
650 | 2 | 4 |
_aMathematical Models of Cognitive Processes and Neural Networks. _932913 |
710 | 2 |
_aSpringerLink (Online service) _979613 |
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773 | 0 | _tSpringer Nature eBook | |
776 | 0 | 8 |
_iPrinted edition: _z9783031004346 |
776 | 0 | 8 |
_iPrinted edition: _z9783031026904 |
830 | 0 |
_aSynthesis Lectures on Artificial Intelligence and Machine Learning, _x1939-4616 _979614 |
|
856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-031-01562-5 |
912 | _aZDB-2-SXSC | ||
942 | _cEBK | ||
999 |
_c84812 _d84812 |