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Volumn 5, Issue 1, 2014, Pages 5-22

A scalable approach for statistical learning in semantic graphs

Author keywords

linked life data; Linked Open Data; Semantic Web; Statistical machine learning; statistical relational learning

Indexed keywords


EID: 84918548748     PISSN: 15700844     EISSN: 22104968     Source Type: Journal    
DOI: 10.3233/SW-130100     Document Type: Conference Paper
Times cited : (23)

References (74)
  • 12
    • 67849130563 scopus 로고    scopus 로고
    • ToppGene suite for gene list enrichment analysis and candidate gene prioritization
    • J. Chen, E.E. Bardes, B.J. Aronow, and A.G. Jegga, ToppGene suite for gene list enrichment analysis and candidate gene prioritization, Nucleic Acids Research 37 (2009).
    • (2009) Nucleic Acids Research , vol.37
    • Chen, J.1    Bardes, E.E.2    Aronow, B.J.3    Jegga, A.G.4
  • 13
    • 38049136610 scopus 로고    scopus 로고
    • Improved human disease candidate gene prioritization using mouse phenotype
    • J. Chen, H. Xu, B. Aronow, and A. Jegga, Improved human disease candidate gene prioritization using mouse phenotype, BMC Bioinformatics 8(1) (2007), 392.
    • (2007) BMC Bioinformatics , vol.8 , Issue.1 , pp. 392
    • Chen, J.1    Xu, H.2    Aronow, B.3    Jegga, A.4
  • 18
    • 53349100683 scopus 로고    scopus 로고
    • Markov logic: A unifying framework for statistical relational learning
    • L. Getoor and B. Taskar, eds, MIT Press
    • P. Domingos and M. Richardson, Markov logic: A unifying framework for statistical relational learning, in: Introduction to Statistical Relational Learning, L. Getoor and B. Taskar, eds, MIT Press, 2007.
    • (2007) Introduction to Statistical Relational Learning
    • Domingos, P.1    Richardson, M.2
  • 21
    • 4444288656 scopus 로고    scopus 로고
    • Kernels and distances for structured data
    • T. Gärtner, J. Lloyd, and P. Flach, Kernels and distances for structured data, Machine Learning 57(3) (2004).
    • (2004) Machine Learning , vol.57 , Issue.3
    • Gärtner, T.1    Lloyd, J.2    Flach, P.3
  • 24
    • 13444266370 scopus 로고    scopus 로고
    • Online mendelian inheritance in man (OMIM), a knowledgebase of human genes and genetic disorders
    • A. Hamosh, A.F. Scott, J.S. Amberger, C.A. Bocchini, and V.A. McKusick, Online mendelian inheritance in man (OMIM), a knowledgebase of human genes and genetic disorders, Nucleic Acids Research 33(Database Issue) (2005), D514.
    • (2005) Nucleic Acids Research , vol.33
    • Hamosh, A.1    Scott, A.F.2    Amberger, J.S.3    Bocchini, C.A.4    McKusick, V.A.5
  • 32
    • 77950351474 scopus 로고    scopus 로고
    • Advances in translational bioinformatics: Computational approaches for the hunting of disease genes
    • M.G. Kann, Advances in translational bioinformatics: Computational approaches for the hunting of disease genes, Briefings in Bioinformatics 11(1) (2010), 96.
    • (2010) Briefings in Bioinformatics , vol.11 , Issue.1 , pp. 96
    • Kann, M.G.1
  • 34
    • 70349957476 scopus 로고    scopus 로고
    • Adding data mining support to SPARQL via statistical relational learning methods
    • Springer-Verlag
    • C. Kiefer, A. Bernstein, and A. Locher, Adding data mining support to SPARQL via statistical relational learning methods, in: Extended Semantic Web Conference 2008, Springer-Verlag, 2008.
    • (2008) Extended Semantic Web Conference 2008
    • Kiefer, C.1    Bernstein, A.2    Locher, A.3
  • 37
    • 0033592606 scopus 로고    scopus 로고
    • Learning the parts of objects by non-negative matrix factorization
    • D.D. Lee and H.S. Seung, Learning the parts of objects by non-negative matrix factorization, Nature (1999).
    • (1999) Nature
    • Lee, D.D.1    Seung, H.S.2
  • 54
    • 0001172265 scopus 로고
    • Learning logical definitions from relations
    • J.R. Quinlan, Learning logical definitions from relations, Machine Learning 5(3) (1990).
    • (1990) Machine Learning , vol.5 , Issue.3
    • Quinlan, J.R.1
  • 74
    • 33745456231 scopus 로고    scopus 로고
    • Technical report, Computer Sciences TR 1530 University of Wisconsin Madison
    • X. Zhu, Semi-supervised learning literature survey, Technical report, Computer Sciences TR 1530 University of Wisconsin Madison, 2006.
    • (2006) Semi-supervised Learning Literature Survey
    • Zhu, X.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.