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UID:/NewsandEvents/Archives/2016/newsitem/7493/4-6
 -September-2016-The-26th-International-Conference-
 on-Inductive-Logic-Programming-ILP-2016-London-Eng
 land
DTSTAMP:20160707T000000
SUMMARY:The 26th International Conference on Induc
 tive Logic Programming (ILP 2016), London, England
DTSTART;VALUE=DATE:20160904
DTEND;VALUE=DATE:20160906
LOCATION:London, England
DESCRIPTION:Inductive Logic Programming (ILP) is a
  subfield of machine learning, which uses logic pr
 ogramming as a uniform representation technique fo
 r examples, background knowledge and hypotheses. D
 ue to its strong representation formalism, based o
 n first-order logic, ILP provides an excellent mea
 ns for multi-relational learning and data mining. 
 The ILP conference series, started in 1991, is the
  premier international forum for learning from str
 uctured relational data. Originally focusing on th
 e induction of logic programs, over the years it h
 as expanded its research horizon significantly and
  welcomes contributions to all aspects of learning
  in logic, multi-relational data mining, statistic
 al relational learning, graph and tree mining, lea
 rning in other (non-propositional) logic-based kno
 wledge representation frameworks, exploring inters
 ections to statistical learning and other probabil
 istic approaches.   For more information, see http
 ://ilp16.doc.ic.ac.uk  Submissions are still open 
 for short papers and papers relevant to the confer
 ence topics that have been recently published/acce
 pted for publication by a first-class conference. 
 Submission deadline: 24 July 2016.
X-ALT-DESC;FMTTYPE=text/html:<div>\n      <p>Induc
 tive Logic Programming (ILP) is a subfield of mach
 ine learning, which uses logic programming as a un
 iform representation technique for examples, backg
 round knowledge and hypotheses. Due to its strong 
 representation formalism, based on first-order log
 ic, ILP provides an excellent means for multi-rela
 tional learning and data mining. The ILP conferenc
 e series, started in 1991, is the premier internat
 ional forum for learning from structured relationa
 l data. Originally focusing on the induction of lo
 gic programs, over the years it has expanded its r
 esearch horizon significantly and welcomes contrib
 utions to all aspects of learning in logic, multi-
 relational data mining, statistical relational lea
 rning, graph and tree mining, learning in other (n
 on-propositional) logic-based knowledge representa
 tion frameworks, exploring intersections to statis
 tical learning and other probabilistic approaches.
  \n      </p>\n    \n      \n      <p>For more inf
 ormation, see\n        <a target="_blank" href="ht
 tp://ilp16.doc.ic.ac.uk">http://ilp16.doc.ic.ac.uk
 </a>\n      </p>\n    </div><div>\n      <p>Submis
 sions are still open for short papers and papers r
 elevant to the \n        conference topics that ha
 ve been recently published/accepted for \n        
 publication by a first-class conference.\nSubmissi
 on deadline:  24 July 2016.\n      </p>\n      </d
 iv>
URL:/NewsandEvents/Archives/2016/newsitem/7493/4-6
 -September-2016-The-26th-International-Conference-
 on-Inductive-Logic-Programming-ILP-2016-London-Eng
 land
END:VEVENT
END:VCALENDAR
