| 000 | 03027nam a2200505 i 4500 | ||
|---|---|---|---|
| 001 | 6276819 | ||
| 003 | IEEE | ||
| 005 | 20220712204741.0 | ||
| 006 | m o d | ||
| 007 | cr |n||||||||| | ||
| 008 | 151223s1995 maua ob 001 eng d | ||
| 010 | _z 95014956 (print) | ||
| 020 |
_z9780262023931 _qprint |
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| 020 |
_a9780262288422 _qelectronic |
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| 020 |
_z0262023938 _qhc : alk. paper |
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| 035 | _a(CaBNVSL)mat06276819 | ||
| 035 | _a(IDAMS)0b000064818c1f17 | ||
| 040 |
_aCaBNVSL _beng _erda _cCaBNVSL _dCaBNVSL |
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| 050 | 4 |
_aQA76.63 _b.B47 1996eb |
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| 082 | 0 | 0 |
_a005.1/1 _220 |
| 100 | 1 |
_aBergadano, Francesco, _d1963- _923475 |
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| 245 | 1 | 0 |
_aInductive logic programming : _bfrom machine learning to software engineering / _cFrancesco Bergadano and Daniele Gunetti. |
| 264 | 1 |
_aCambridge, Massachusetts : _bMIT Press, _cc1996. |
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| 264 | 2 |
_a[Piscataqay, New Jersey] : _bIEEE Xplore, _c[1995] |
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| 300 |
_a1 PDF (vii, 240 pages) : _billustrations. |
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| 336 |
_atext _2rdacontent |
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| 337 |
_aelectronic _2isbdmedia |
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| 338 |
_aonline resource _2rdacarrier |
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| 490 | 1 | _aLogic programming | |
| 504 | _aIncludes bibliographical references (p. [219]-235) and index. | ||
| 506 | 1 | _aRestricted to subscribers or individual electronic text purchasers. | |
| 520 | _aAlthough Inductive Logic Programming (ILP) is generally thought of as a research area at the intersection of machine learning and computational logic, Bergadano and Gunetti propose that most of the research in ILP has in fact come from machine learning, particularly in the evolution of inductive reasoning from pattern recognition, through initial approaches to symbolic machine learning, to recent techniques for learning relational concepts. In this book they provide an extended, up-to-date survey of ILP, emphasizing methods and systems suitable for software engineering applications, including inductive program development, testing, and maintenance.Inductive Logic Programming includes a definition of the basic ILP problem and its variations (incremental, with queries, for multiple predicates and predicate invention capabilities), a description of bottom-up operators and techniques (such as least general generalization, inverse resolution, and inverse implication), an analysis of top-down methods (mainly MIS and FOIL-like systems), and a survey of methods and languages for specifying inductive bias Logic Programming series. | ||
| 530 | _aAlso available in print. | ||
| 538 | _aMode of access: World Wide Web | ||
| 588 | _aDescription based on PDF viewed 12/23/2015. | ||
| 650 | 0 |
_aLogic programming. _92730 |
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| 655 | 0 |
_aElectronic books. _93294 |
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| 700 | 1 |
_aGunetti, Daniele. _923476 |
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| 710 | 2 |
_aIEEE Xplore (Online Service), _edistributor. _923477 |
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| 710 | 2 |
_aMIT Press, _epublisher. _923478 |
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| 776 | 0 | 8 |
_iPrint version _z9780262023931 |
| 830 | 0 |
_aLogic programming _92730 |
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| 856 | 4 | 2 |
_3Abstract with links to resource _uhttps://ieeexplore.ieee.org/xpl/bkabstractplus.jsp?bkn=6276819 |
| 942 | _cEBK | ||
| 999 |
_c73216 _d73216 |
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