Inductive logic programming (English Wikipedia)

Analysis of information sources in references of the Wikipedia article "Inductive logic programming" in English language version.

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arxiv.org

Cropper, Andrew; Dumančić, Sebastijan (2022-06-15). "Inductive Logic Programming At 30: A New Introduction". Journal of Artificial Intelligence Research. 74: 808. arXiv:2008.07912. doi:10.1613/jair.1.13507. ISSN 1076-9757.
Cropper, Andrew; Dumančić, Sebastijan (2022-06-15). "Inductive Logic Programming At 30: A New Introduction". Journal of Artificial Intelligence Research. 74: 779–782. arXiv:2008.07912. doi:10.1613/jair.1.13507. ISSN 1076-9757.
Toth, David (2014). "Imparo is complete by inverse subsumption". arXiv:1407.3836 [cs.AI].
Cropper, Andrew; Dumančić, Sebastijan (2022-06-15). "Inductive Logic Programming At 30: A New Introduction". Journal of Artificial Intelligence Research. 74: 795. arXiv:2008.07912. doi:10.1613/jair.1.13507. ISSN 1076-9757.
Bellodi, Elena; Riguzzi, Fabrizio (2014-01-15). "Structure learning of probabilistic logic programs by searching the clause space". Theory and Practice of Logic Programming. 15 (2): 169–212. arXiv:1309.2080. doi:10.1017/s1471068413000689. ISSN 1471-0684. S2CID 17669522.

bl.uk

ethos.bl.uk

Kimber, Timothy (2012). Learning definite and normal logic programs by induction on failure (PhD). Imperial College London. ethos 560694. Archived from the original on 2022-10-21. Retrieved 2022-10-21.

dblp.org

Muggleton, Stephen H.; Feng, Cao (1990). Arikawa, Setsuo; Goto, Shigeki; Ohsuga, Setsuo; Yokomori, Takashi (eds.). "Efficient Induction of Logic Programs". Algorithmic Learning Theory, First International Workshop, ALT '90, Tokyo, Japan, October 8–10, 1990, Proceedings. Springer/Ohmsha: 368–381.

doi.org

Muggleton, S.H.; Buntine, W. (1988). "Machine invention of first-order predicate by inverting resolution". Proceedings of the 5th International Conference on Machine Learning. pp. 339–352. doi:10.1016/B978-0-934613-64-4.50040-2. ISBN 978-0-934613-64-4.
Quinlan, J. R. (August 1990). "Learning logical definitions from relations". Machine Learning. 5 (3): 239–266. doi:10.1007/bf00117105. ISSN 0885-6125.
Cropper, Andrew; Dumančić, Sebastijan (2022-06-15). "Inductive Logic Programming At 30: A New Introduction". Journal of Artificial Intelligence Research. 74: 808. arXiv:2008.07912. doi:10.1613/jair.1.13507. ISSN 1076-9757.
Muggleton, S.H. (1995). "Inverting entailment and Progol". New Generation Computing. 13 (3–4): 245–286. CiteSeerX 10.1.1.31.1630. doi:10.1007/bf03037227. S2CID 12643399.
Džeroski, Sašo (2001), Džeroski, Sašo; Lavrač, Nada (eds.), "Relational Data Mining Applications: An Overview", Relational Data Mining, Berlin, Heidelberg: Springer Berlin Heidelberg, pp. 339–364, doi:10.1007/978-3-662-04599-2_14, ISBN 978-3-642-07604-6, retrieved 2023-11-27
De Raedt, Luc (2008), Logical and Relational Learning, Cognitive Technologies, Berlin, Heidelberg: Springer, p. 14, Bibcode:2008lrl..book.....D, doi:10.1007/978-3-540-68856-3, ISBN 978-3-540-20040-6
Muggleton, Stephen H.; Lin, Dianhuan; Pahlavi, Niels; Tamaddoni-Nezhad, Alireza (2013-05-01). "Meta-interpretive learning: application to grammatical inference". Machine Learning. 94 (1): 25–49. doi:10.1007/s10994-013-5358-3. ISSN 0885-6125. S2CID 254738603.
Cropper, Andrew; Dumančić, Sebastijan; Evans, Richard; Muggleton, Stephen (2022). "Inductive logic programming at 30". Machine Learning. 111 (1): 147–172. doi:10.1007/s10994-021-06089-1. ISSN 0885-6125.
Cropper, Andrew; Dumančić, Sebastijan (2022-06-15). "Inductive Logic Programming At 30: A New Introduction". Journal of Artificial Intelligence Research. 74: 779–782. arXiv:2008.07912. doi:10.1613/jair.1.13507. ISSN 1076-9757.
De Raedt, Luc (1997). "Logical settings for concept-learning". Artificial Intelligence. 95 (1): 187–201. doi:10.1016/S0004-3702(97)00041-6.
Muggleton, Stephen (1999). "Inductive Logic Programming: Issues, Results and the Challenge of Learning Language in Logic". Artificial Intelligence. 114 (1–2): 283–296. doi:10.1016/s0004-3702(99)00067-3.; here: Sect.2.1
Ray, O.; Broda, K.; Russo, A.M. (2003). "Hybrid abductive inductive learning". Proceedings of the 13th international conference on inductive logic programming. LNCS. Vol. 2835. Springer. pp. 311–328. CiteSeerX 10.1.1.212.6602. doi:10.1007/978-3-540-39917-9_21. ISBN 978-3-540-39917-9.
Kimber, T.; Broda, K.; Russo, A. (2009). "Induction on failure: learning connected Horn theories". Proceedings of the 10th international conference on logic programing and nonmonotonic reasoning. LNCS. Vol. 575. Springer. pp. 169–181. doi:10.1007/978-3-642-04238-6_16. ISBN 978-3-642-04238-6.
Yamamoto, Yoshitaka; Inoue, Katsumi; Iwanuma, Koji (2012). "Inverse subsumption for complete explanatory induction" (PDF). Machine Learning. 86: 115–139. doi:10.1007/s10994-011-5250-y. S2CID 11347607.
Yamamoto, Akihiro (1997). "Which hypotheses can be found with inverse entailment?". International Conference on Inductive Logic Programming. Lecture Notes in Computer Science. Vol. 1297. Springer. pp. 296–308. CiteSeerX 10.1.1.54.2975. doi:10.1007/3540635149_58. ISBN 978-3-540-69587-5.
Cropper, Andrew; Dumančić, Sebastijan (2022-06-15). "Inductive Logic Programming At 30: A New Introduction". Journal of Artificial Intelligence Research. 74: 795. arXiv:2008.07912. doi:10.1613/jair.1.13507. ISSN 1076-9757.
Muggleton, Stephen; Santos, Jose; Tamaddoni-Nezhad, Alireza (2009). "ProGolem: a system based on relative minimal generalization". International Conference on Inductive Logic Programming. Springer. pp. 131–148. CiteSeerX 10.1.1.297.7992. doi:10.1007/978-3-642-13840-9_13. ISBN 978-3-642-13840-9.
Santos, Jose; Nassif, Houssam; Page, David; Muggleton, Stephen; Sternberg, Mike (2012). "Automated identification of features of protein-ligand interactions using Inductive Logic Programming: a hexose binding case study". BMC Bioinformatics. 13: 162. doi:10.1186/1471-2105-13-162. PMC 3458898. PMID 22783946.
De Raedt, Luc; Kersting, Kristian (2008), Probabilistic Inductive Logic Programming, Berlin, Heidelberg: Springer Berlin Heidelberg, pp. 1–27, doi:10.1007/978-3-540-78652-8_1, ISBN 978-3-540-78651-1, retrieved 2023-12-09
Riguzzi, Fabrizio; Bellodi, Elena; Zese, Riccardo (2014-09-18). "A History of Probabilistic Inductive Logic Programming". Frontiers in Robotics and AI. 1. doi:10.3389/frobt.2014.00006. ISSN 2296-9144.
De Raedt, L.; Kersting, K.; Kimmig, A.; Revoredo, K.; Toivonen, H. (March 2008). "Compressing probabilistic Prolog programs". Machine Learning. 70 (2–3): 151–168. doi:10.1007/s10994-007-5030-x. ISSN 0885-6125.
Blockeel, Hendrik; Meert, Wannes (2007), "Towards Learning Non-recursive LPADs by Transforming Them into Bayesian Networks", Inductive Logic Programming, Lecture Notes in Computer Science, vol. 4455, Berlin, Heidelberg: Springer Berlin Heidelberg, pp. 94–108, doi:10.1007/978-3-540-73847-3_16, ISBN 978-3-540-73846-6, retrieved 2023-12-09
De Raedt, Luc; Thon, Ingo (2011), Frasconi, Paolo; Lisi, Francesca A. (eds.), "Probabilistic Rule Learning", Inductive Logic Programming, vol. 6489, Berlin, Heidelberg: Springer Berlin Heidelberg, pp. 47–58, doi:10.1007/978-3-642-21295-6_9, ISBN 978-3-642-21294-9, S2CID 11727522, retrieved 2023-12-09
Bellodi, Elena; Riguzzi, Fabrizio (2012), "Learning the Structure of Probabilistic Logic Programs", Inductive Logic Programming, Berlin, Heidelberg: Springer Berlin Heidelberg, pp. 61–75, doi:10.1007/978-3-642-31951-8_10, ISBN 978-3-642-31950-1, retrieved 2023-12-09
Bellodi, Elena; Riguzzi, Fabrizio (2014-01-15). "Structure learning of probabilistic logic programs by searching the clause space". Theory and Practice of Logic Programming. 15 (2): 169–212. arXiv:1309.2080. doi:10.1017/s1471068413000689. ISSN 1471-0684. S2CID 17669522.

dx.doi.org

De Raedt, Luc (2008), Logical and Relational Learning, Cognitive Technologies, Berlin, Heidelberg: Springer, p. 14, Bibcode:2008lrl..book.....D, doi:10.1007/978-3-540-68856-3, ISBN 978-3-540-20040-6
Muggleton, Stephen H.; Lin, Dianhuan; Pahlavi, Niels; Tamaddoni-Nezhad, Alireza (2013-05-01). "Meta-interpretive learning: application to grammatical inference". Machine Learning. 94 (1): 25–49. doi:10.1007/s10994-013-5358-3. ISSN 0885-6125. S2CID 254738603.
De Raedt, Luc; Kersting, Kristian (2008), Probabilistic Inductive Logic Programming, Berlin, Heidelberg: Springer Berlin Heidelberg, pp. 1–27, doi:10.1007/978-3-540-78652-8_1, ISBN 978-3-540-78651-1, retrieved 2023-12-09
Blockeel, Hendrik; Meert, Wannes (2007), "Towards Learning Non-recursive LPADs by Transforming Them into Bayesian Networks", Inductive Logic Programming, Lecture Notes in Computer Science, vol. 4455, Berlin, Heidelberg: Springer Berlin Heidelberg, pp. 94–108, doi:10.1007/978-3-540-73847-3_16, ISBN 978-3-540-73846-6, retrieved 2023-12-09
Bellodi, Elena; Riguzzi, Fabrizio (2012), "Learning the Structure of Probabilistic Logic Programs", Inductive Logic Programming, Berlin, Heidelberg: Springer Berlin Heidelberg, pp. 61–75, doi:10.1007/978-3-642-31951-8_10, ISBN 978-3-642-31950-1, retrieved 2023-12-09
Bellodi, Elena; Riguzzi, Fabrizio (2014-01-15). "Structure learning of probabilistic logic programs by searching the clause space". Theory and Practice of Logic Programming. 15 (2): 169–212. arXiv:1309.2080. doi:10.1017/s1471068413000689. ISSN 1471-0684. S2CID 17669522.

ed.ac.uk

era.lib.ed.ac.uk

Plotkin, G.D. (1970). Automatic Methods of Inductive Inference (PDF) (PhD). University of Edinburgh. hdl:1842/6656.
Plotkin, G.D. (1970). Automatic Methods of Inductive Inference (PDF) (PhD). University of Edinburgh. hdl:1842/6656.

elsevier.com

linkinghub.elsevier.com

De Raedt, Luc (1997). "Logical settings for concept-learning". Artificial Intelligence. 95 (1): 187–201. doi:10.1016/S0004-3702(97)00041-6.

handle.net

hdl.handle.net

Plotkin, G.D. (1970). Automatic Methods of Inductive Inference (PDF) (PhD). University of Edinburgh. hdl:1842/6656.
Plotkin, G.D. (1970). Automatic Methods of Inductive Inference (PDF) (PhD). University of Edinburgh. hdl:1842/6656.

harvard.edu

ui.adsabs.harvard.edu

De Raedt, Luc (2008), Logical and Relational Learning, Cognitive Technologies, Berlin, Heidelberg: Springer, p. 14, Bibcode:2008lrl..book.....D, doi:10.1007/978-3-540-68856-3, ISBN 978-3-540-20040-6

ijcai.org

Shapiro, Ehud Y. (1981). "The model inference system" (PDF). Proceedings of the 7th international joint conference on Artificial intelligence. Vol. 2. Morgan Kaufmann. p. 1064.

ijs.si

kt.ijs.si

Džeroski, Sašo (1996). "Inductive Logic Programming and Knowledge Discovery in Databases" (PDF). In Fayyad, U.M.; Piatetsky-Shapiro, G.; Smith, P.; Uthurusamy, R. (eds.). Advances in Knowledge Discovery and Data Mining. MIT Press. pp. 117–152 See §5.2.4. Archived from the original (PDF) on 2021-09-27. Retrieved 2021-09-27.

nih.gov

ncbi.nlm.nih.gov

Santos, Jose; Nassif, Houssam; Page, David; Muggleton, Stephen; Sternberg, Mike (2012). "Automated identification of features of protein-ligand interactions using Inductive Logic Programming: a hexose binding case study". BMC Bioinformatics. 13: 162. doi:10.1186/1471-2105-13-162. PMC 3458898. PMID 22783946.

pubmed.ncbi.nlm.nih.gov

Santos, Jose; Nassif, Houssam; Page, David; Muggleton, Stephen; Sternberg, Mike (2012). "Automated identification of features of protein-ligand interactions using Inductive Logic Programming: a hexose binding case study". BMC Bioinformatics. 13: 162. doi:10.1186/1471-2105-13-162. PMC 3458898. PMID 22783946.

psu.edu

citeseerx.ist.psu.edu

Muggleton, S.H. (1995). "Inverting entailment and Progol". New Generation Computing. 13 (3–4): 245–286. CiteSeerX 10.1.1.31.1630. doi:10.1007/bf03037227. S2CID 12643399.
Ray, O.; Broda, K.; Russo, A.M. (2003). "Hybrid abductive inductive learning". Proceedings of the 13th international conference on inductive logic programming. LNCS. Vol. 2835. Springer. pp. 311–328. CiteSeerX 10.1.1.212.6602. doi:10.1007/978-3-540-39917-9_21. ISBN 978-3-540-39917-9.
Yamamoto, Akihiro (1997). "Which hypotheses can be found with inverse entailment?". International Conference on Inductive Logic Programming. Lecture Notes in Computer Science. Vol. 1297. Springer. pp. 296–308. CiteSeerX 10.1.1.54.2975. doi:10.1007/3540635149_58. ISBN 978-3-540-69587-5.
Muggleton, Stephen; Santos, Jose; Tamaddoni-Nezhad, Alireza (2009). "ProGolem: a system based on relative minimal generalization". International Conference on Inductive Logic Programming. Springer. pp. 131–148. CiteSeerX 10.1.1.297.7992. doi:10.1007/978-3-642-13840-9_13. ISBN 978-3-642-13840-9.

semanticscholar.org

api.semanticscholar.org

Muggleton, S.H. (1995). "Inverting entailment and Progol". New Generation Computing. 13 (3–4): 245–286. CiteSeerX 10.1.1.31.1630. doi:10.1007/bf03037227. S2CID 12643399.
Muggleton, Stephen H.; Lin, Dianhuan; Pahlavi, Niels; Tamaddoni-Nezhad, Alireza (2013-05-01). "Meta-interpretive learning: application to grammatical inference". Machine Learning. 94 (1): 25–49. doi:10.1007/s10994-013-5358-3. ISSN 0885-6125. S2CID 254738603.
Yamamoto, Yoshitaka; Inoue, Katsumi; Iwanuma, Koji (2012). "Inverse subsumption for complete explanatory induction" (PDF). Machine Learning. 86: 115–139. doi:10.1007/s10994-011-5250-y. S2CID 11347607.
De Raedt, Luc; Thon, Ingo (2011), Frasconi, Paolo; Lisi, Francesca A. (eds.), "Probabilistic Rule Learning", Inductive Logic Programming, vol. 6489, Berlin, Heidelberg: Springer Berlin Heidelberg, pp. 47–58, doi:10.1007/978-3-642-21295-6_9, ISBN 978-3-642-21294-9, S2CID 11727522, retrieved 2023-12-09
Bellodi, Elena; Riguzzi, Fabrizio (2014-01-15). "Structure learning of probabilistic logic programs by searching the clause space". Theory and Practice of Logic Programming. 15 (2): 169–212. arXiv:1309.2080. doi:10.1017/s1471068413000689. ISSN 1471-0684. S2CID 17669522.

springer.com

link.springer.com

Džeroski, Sašo (2001), Džeroski, Sašo; Lavrač, Nada (eds.), "Relational Data Mining Applications: An Overview", Relational Data Mining, Berlin, Heidelberg: Springer Berlin Heidelberg, pp. 339–364, doi:10.1007/978-3-662-04599-2_14, ISBN 978-3-642-07604-6, retrieved 2023-11-27
Ray, O.; Broda, K.; Russo, A.M. (2003). "Hybrid abductive inductive learning". Proceedings of the 13th international conference on inductive logic programming. LNCS. Vol. 2835. Springer. pp. 311–328. CiteSeerX 10.1.1.212.6602. doi:10.1007/978-3-540-39917-9_21. ISBN 978-3-540-39917-9.
Kimber, T.; Broda, K.; Russo, A. (2009). "Induction on failure: learning connected Horn theories". Proceedings of the 10th international conference on logic programing and nonmonotonic reasoning. LNCS. Vol. 575. Springer. pp. 169–181. doi:10.1007/978-3-642-04238-6_16. ISBN 978-3-642-04238-6.
Yamamoto, Yoshitaka; Inoue, Katsumi; Iwanuma, Koji (2012). "Inverse subsumption for complete explanatory induction" (PDF). Machine Learning. 86: 115–139. doi:10.1007/s10994-011-5250-y. S2CID 11347607.
Yamamoto, Akihiro (1997). "Which hypotheses can be found with inverse entailment?". International Conference on Inductive Logic Programming. Lecture Notes in Computer Science. Vol. 1297. Springer. pp. 296–308. CiteSeerX 10.1.1.54.2975. doi:10.1007/3540635149_58. ISBN 978-3-540-69587-5.
Muggleton, Stephen; Santos, Jose; Tamaddoni-Nezhad, Alireza (2009). "ProGolem: a system based on relative minimal generalization". International Conference on Inductive Logic Programming. Springer. pp. 131–148. CiteSeerX 10.1.1.297.7992. doi:10.1007/978-3-642-13840-9_13. ISBN 978-3-642-13840-9.
De Raedt, L.; Kersting, K.; Kimmig, A.; Revoredo, K.; Toivonen, H. (March 2008). "Compressing probabilistic Prolog programs". Machine Learning. 70 (2–3): 151–168. doi:10.1007/s10994-007-5030-x. ISSN 0885-6125.
De Raedt, Luc; Thon, Ingo (2011), Frasconi, Paolo; Lisi, Francesca A. (eds.), "Probabilistic Rule Learning", Inductive Logic Programming, vol. 6489, Berlin, Heidelberg: Springer Berlin Heidelberg, pp. 47–58, doi:10.1007/978-3-642-21295-6_9, ISBN 978-3-642-21294-9, S2CID 11727522, retrieved 2023-12-09

stanford.edu

robotics.stanford.edu

Koller, Daphne; Pfeffer, Avi (August 1997). Learning probabilities for noisy first-order rules (PDF). IJCAI.

web.archive.org

Džeroski, Sašo (1996). "Inductive Logic Programming and Knowledge Discovery in Databases" (PDF). In Fayyad, U.M.; Piatetsky-Shapiro, G.; Smith, P.; Uthurusamy, R. (eds.). Advances in Knowledge Discovery and Data Mining. MIT Press. pp. 117–152 See §5.2.4. Archived from the original (PDF) on 2021-09-27. Retrieved 2021-09-27.
Kimber, Timothy (2012). Learning definite and normal logic programs by induction on failure (PhD). Imperial College London. ethos 560694. Archived from the original on 2022-10-21. Retrieved 2022-10-21.

worldcat.org

search.worldcat.org

Quinlan, J. R. (August 1990). "Learning logical definitions from relations". Machine Learning. 5 (3): 239–266. doi:10.1007/bf00117105. ISSN 0885-6125.
Cropper, Andrew; Dumančić, Sebastijan (2022-06-15). "Inductive Logic Programming At 30: A New Introduction". Journal of Artificial Intelligence Research. 74: 808. arXiv:2008.07912. doi:10.1613/jair.1.13507. ISSN 1076-9757.
Muggleton, Stephen H.; Lin, Dianhuan; Pahlavi, Niels; Tamaddoni-Nezhad, Alireza (2013-05-01). "Meta-interpretive learning: application to grammatical inference". Machine Learning. 94 (1): 25–49. doi:10.1007/s10994-013-5358-3. ISSN 0885-6125. S2CID 254738603.
Cropper, Andrew; Dumančić, Sebastijan; Evans, Richard; Muggleton, Stephen (2022). "Inductive logic programming at 30". Machine Learning. 111 (1): 147–172. doi:10.1007/s10994-021-06089-1. ISSN 0885-6125.
Cropper, Andrew; Dumančić, Sebastijan (2022-06-15). "Inductive Logic Programming At 30: A New Introduction". Journal of Artificial Intelligence Research. 74: 779–782. arXiv:2008.07912. doi:10.1613/jair.1.13507. ISSN 1076-9757.
Cropper, Andrew; Dumančić, Sebastijan (2022-06-15). "Inductive Logic Programming At 30: A New Introduction". Journal of Artificial Intelligence Research. 74: 795. arXiv:2008.07912. doi:10.1613/jair.1.13507. ISSN 1076-9757.
Riguzzi, Fabrizio; Bellodi, Elena; Zese, Riccardo (2014-09-18). "A History of Probabilistic Inductive Logic Programming". Frontiers in Robotics and AI. 1. doi:10.3389/frobt.2014.00006. ISSN 2296-9144.
De Raedt, L.; Kersting, K.; Kimmig, A.; Revoredo, K.; Toivonen, H. (March 2008). "Compressing probabilistic Prolog programs". Machine Learning. 70 (2–3): 151–168. doi:10.1007/s10994-007-5030-x. ISSN 0885-6125.
Bellodi, Elena; Riguzzi, Fabrizio (2014-01-15). "Structure learning of probabilistic logic programs by searching the clause space". Theory and Practice of Logic Programming. 15 (2): 169–212. arXiv:1309.2080. doi:10.1017/s1471068413000689. ISSN 1471-0684. S2CID 17669522.

yale.edu

ftp.cs.yale.edu

Shapiro, Ehud Y. (1981). Inductive inference of theories from facts (PDF) (Technical report). Department of Computer Science, Yale University. 192. Reprinted in Lassez, J.-L.; Plotkin, G., eds. (1991). Computational logic : essays in honor of Alan Robinson. MIT Press. pp. 199–254. ISBN 978-0-262-12156-9.