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020 _a9783319999609
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024 7 _a10.1007/978-3-319-99960-9
_2doi
050 4 _aQ334-342
050 4 _aTA347.A78
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072 7 _aCOM004000
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072 7 _aUYQ
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082 0 4 _a006.3
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245 1 0 _aInductive Logic Programming
_h[electronic resource] :
_b28th International Conference, ILP 2018, Ferrara, Italy, September 2-4, 2018, Proceedings /
_cedited by Fabrizio Riguzzi, Elena Bellodi, Riccardo Zese.
250 _a1st ed. 2018.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2018.
300 _aIX, 173 p. 201 illus., 20 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
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490 1 _aLecture Notes in Artificial Intelligence,
_x2945-9141 ;
_v11105
505 0 _aDerivation reduction of metarules in meta-interpretive learning -- Large-Scale Assessment of Deep Relational Machines -- How much can experimental cost be reduced in active learning of agent strategies? -- Diagnostics of Trains with Semantic Diagnostics Rules -- The game of Bridge: a challenge for ILP -- Sampling-Based SAT/ASP Multi-Model Optimization as a Framework for Probabilistic Inference -- Explaining Black-box Classifiers with ILP - Empowering LIME with Aleph to Approximate Non-linear Decisions with Relational Rules -- Learning Dynamics with Synchronous, Asynchronous and General Semantics -- Was the Year 2000 a Leap Year? Step-wise Narrowing Theories with Metagol -- Targeted End-to-end Knowledge Graph Decomposition.
520 _aThis book constitutes the refereed conference proceedings of the 28th International Conference on Inductive Logic Programming, ILP 2018, held in Ferrara, Italy, in September 2018. The 10 full papers presented were carefully reviewed and selected from numerous submissions. Inductive Logic Programming (ILP) is a subfield of machine learning, which originally relied on logic programming as a uniform representation language for expressing examples, background knowledge and hypotheses. Due to its strong representation formalism, based on first-order logic, ILP provides an excellent means for multi-relational learning and data mining, and more generally for learning from structured data.
650 0 _aArtificial intelligence.
_93407
650 0 _aComputer science.
_99832
650 0 _aCompilers (Computer programs).
_93350
650 0 _aComputer programming.
_94169
650 0 _aInformation technology
_xManagement.
_95368
650 1 4 _aArtificial Intelligence.
_93407
650 2 4 _aComputer Science Logic and Foundations of Programming.
_942203
650 2 4 _aCompilers and Interpreters.
_931853
650 2 4 _aProgramming Techniques.
_9110780
650 2 4 _aComputer Application in Administrative Data Processing.
_931588
700 1 _aRiguzzi, Fabrizio.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_9110781
700 1 _aBellodi, Elena.
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_9110782
700 1 _aZese, Riccardo.
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_9110783
710 2 _aSpringerLink (Online service)
_9110784
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783319999593
776 0 8 _iPrinted edition:
_z9783319999616
830 0 _aLecture Notes in Artificial Intelligence,
_x2945-9141 ;
_v11105
_9110785
856 4 0 _uhttps://doi.org/10.1007/978-3-319-99960-9
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