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Volumn , Issue , 2008, Pages 650-658

Relational learning via collective matrix factorization

Author keywords

Algorithms; Experimentation; Theory

Indexed keywords

ALTERNATING PROJECTION ALGORITHMS; BREG-MAN DIVERGENCES; ERROR DISTRIBUTIONS; ERROR MODELS; EXPERIMENTATION; LARGE-SCALE OPTIMIZATIONS; LOW-RANK MATRICES; MATRIX FACTORIZATIONS; MATRIXES; MEASURE ERRORS; MOVIE RATINGS; MULTIPLE MATRICES; NON-LINEAR RELATIONSHIPS; PREDICTION TECHNIQUES; PREDICTIVE ACCURACIES; RELATIONAL LEARNING; RELATIONAL SCHEMATA; SPARSE MATRICES; STOCHASTIC OPTIMIZATION METHODS; THEORY; UNKNOWN VALUES;

EID: 65449121541     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1401890.1401969     Document Type: Conference Paper
Times cited : (1197)

References (37)
  • 1
    • 36849023117 scopus 로고    scopus 로고
    • Predictive discrete latent factor models for large scale dyadic data
    • D. Agarwal and S. Merugu. Predictive discrete latent factor models for large scale dyadic data. In KDD, pages 26-35, 2007.
    • (2007) KDD , pp. 26-35
    • Agarwal, D.1    Merugu, S.2
  • 2
    • 0001090598 scopus 로고
    • Representations for partially exchangeable arrays of random variables
    • D. J. Aldous. Representations for partially exchangeable arrays of random variables. J. Multi. Anal., 11(4):581-598, 1981.
    • (1981) J. Multi. Anal , vol.11 , Issue.4 , pp. 581-598
    • Aldous, D.J.1
  • 4
    • 0035370926 scopus 로고    scopus 로고
    • Relative loss bounds for on-line density estimation with the exponential family of distributions
    • K. S. Azoury and M. Warmuth. Relative loss bounds for on-line density estimation with the exponential family of distributions. Mach. Learn., 43:211-246, 2001.
    • (2001) Mach. Learn , vol.43 , pp. 211-246
    • Azoury, K.S.1    Warmuth, M.2
  • 5
    • 65449133435 scopus 로고    scopus 로고
    • Multi-way clustering on relation graphs
    • SIAM
    • A. Banerjee, S. Basu, and S. Merugu. Multi-way clustering on relation graphs. In SDM. SIAM, 2007.
    • (2007) SDM
    • Banerjee, A.1    Basu, S.2    Merugu, S.3
  • 7
    • 0013309537 scopus 로고    scopus 로고
    • Online algorithms and stochastic approximations
    • Cambridge UP
    • L. Bottou. Online algorithms and stochastic approximations. In Online Learning and Neural Networks. Cambridge UP, 1998.
    • (1998) Online Learning and Neural Networks
    • Bottou, L.1
  • 8
    • 65449126924 scopus 로고    scopus 로고
    • Large scale online learning
    • L. Bottou and Y. LeCun. Large scale online learning. In NIPS, 2003.
    • (2003) NIPS
    • Bottou, L.1    LeCun, Y.2
  • 10
    • 49949144765 scopus 로고
    • The relaxation method of finding the common points of convex sets and its application to the solution of problems in convex programming
    • L. Bregman. The relaxation method of finding the common points of convex sets and its application to the solution of problems in convex programming. USSR Comp. Math and Math. Phys., 7:200-217, 1967.
    • (1967) USSR Comp. Math and Math. Phys , vol.7 , pp. 200-217
    • Bregman, L.1
  • 12
    • 84976766949 scopus 로고
    • The entity-relationship model: Toward a unified view of data
    • 9-36
    • P. P. Chen. The entity-relationship model: Toward a unified view of data. ACM Trans. Data. Sys., 1(1):9-36, 1976.
    • (1976) ACM Trans. Data. Sys , vol.1 , Issue.1
    • Chen, P.P.1
  • 13
    • 0005137116 scopus 로고    scopus 로고
    • The missing link-a probabilistic model of document content and hypertext connectivity
    • D. Cohn and T. Hofmann. The missing link-a probabilistic model of document content and hypertext connectivity. In NIPS, 2000.
    • (2000) NIPS
    • Cohn, D.1    Hofmann, T.2
  • 14
    • 0042420026 scopus 로고    scopus 로고
    • A generalization of principal component analysis to the exponential family
    • M. Collins, S. Dasgupta, and R. E. Schapire. A generalization of principal component analysis to the exponential family. In NIPS, 2001.
    • (2001) NIPS
    • Collins, M.1    Dasgupta, S.2    Schapire, R.E.3
  • 15
    • 14344256781 scopus 로고    scopus 로고
    • Relative expected instantaneous loss bounds
    • J. Forster and M. K. Warmuth. Relative expected instantaneous loss bounds. In COLT, pages 90-99, 2000.
    • (2000) COLT , pp. 90-99
    • Forster, J.1    Warmuth, M.K.2
  • 18
    • 0000526256 scopus 로고
    • Overview of the 2nd text retrieval conference (TREC-2)
    • 271-289
    • D. Harman. Overview of the 2nd text retrieval conference (TREC-2). Inf. Process. Manag., 31(3):271-289, 1995.
    • (1995) Inf. Process. Manag , vol.31 , Issue.3
    • Harman, D.1
  • 19
    • 85026972772 scopus 로고    scopus 로고
    • Probabilistic latent semantic indexing
    • T. Hofmann. Probabilistic latent semantic indexing. In SIGIR, pages 50-57, 1999.
    • (1999) SIGIR , pp. 50-57
    • Hofmann, T.1
  • 20
    • 84868919987 scopus 로고    scopus 로고
    • Internet Movie Database Inc. IMDB interfaces, Jan. 2007
    • Internet Movie Database Inc. IMDB interfaces. http://www.imdb.com/ interfaces, Jan. 2007.
  • 21
    • 84898964201 scopus 로고    scopus 로고
    • Algorithms for non-negative matrix factorization
    • D. D. Lee and H. S. Seung. Algorithms for non-negative matrix factorization. In NIPS, 2001.
    • (2001) NIPS
    • Lee, D.D.1    Seung, H.S.2
  • 23
    • 34250765347 scopus 로고    scopus 로고
    • Spectral clustering for multi-type relational data
    • B. Long, Z. M. Zhang, X. Wu;, and P. S. Yu. Spectral clustering for multi-type relational data. In ICML, pages 585-592, 2006.
    • (2006) ICML , pp. 585-592
    • Long, B.1    Zhang, Z.M.2    Wu, X.3    Yu, P.S.4
  • 24
    • 34547985975 scopus 로고    scopus 로고
    • Relational clustering by symmetric convex coding
    • B. Long, Z. M. Zhang, X. Wu, and P. S. Yu. Relational clustering by symmetric convex coding. In ICML, pages 569-576, 2007.
    • (2007) ICML , pp. 569-576
    • Long, B.1    Zhang, Z.M.2    Wu, X.3    Yu, P.S.4
  • 25
    • 36849020504 scopus 로고    scopus 로고
    • A probabilistic framework for relational clustering
    • B. Long, Z. M. Zhang, and P. S. Yu. A probabilistic framework for relational clustering. In KDD, pages 470-479, 2007.
    • (2007) KDD , pp. 470-479
    • Long, B.1    Zhang, Z.M.2    Yu, P.S.3
  • 29
    • 34250709572 scopus 로고    scopus 로고
    • The support vector decomposition machine
    • F. Pereira and G. Gordon. The support vector decomposition machine. In ICML, pages 689-696, 2006.
    • (2006) ICML , pp. 689-696
    • Pereira, F.1    Gordon, G.2
  • 30
    • 31844451557 scopus 로고    scopus 로고
    • Fast maximum margin matrix factorization for collaborative prediction
    • J. D. M. Rennie and N. Srebro. Fast maximum margin matrix factorization for collaborative prediction. In ICML, pages 713-719, 2005.
    • (2005) ICML , pp. 713-719
    • Rennie, J.D.M.1    Srebro, N.2
  • 31
    • 65449171467 scopus 로고    scopus 로고
    • Relational learning via collective matrix factorization
    • Technical Report CMU-ML-08-109, Machine Learning Department, Carnegie Mellon University
    • A. P. Singh and G. J. Gordon. Relational learning via collective matrix factorization. Technical Report CMU-ML-08-109, Machine Learning Department, Carnegie Mellon University, 2008.
    • (2008)
    • Singh, A.P.1    Gordon, G.J.2
  • 32
    • 1942516801 scopus 로고    scopus 로고
    • Weighted low-rank approximations
    • N. Srebro and T. Jaakola. Weighted low-rank approximations. In ICML, 2003.
    • (2003) ICML
    • Srebro, N.1    Jaakola, T.2
  • 34
    • 85032752237 scopus 로고    scopus 로고
    • Cyclic minimizers, majorization techniques, and the expectation-maximization algorithm: A refresher
    • P. Stoica and Y. Selen. Cyclic minimizers, majorization techniques, and the expectation-maximization algorithm: a refresher. Sig. Process. Mag., IEEE, 21(1):112-114, 2004.
    • (2004) Sig. Process. Mag., IEEE , vol.21 , Issue.1 , pp. 112-114
    • Stoica, P.1    Selen, Y.2
  • 35
    • 84885640929 scopus 로고    scopus 로고
    • Multi-label informed latent semantic indexing
    • K. Yu, S. Yu, and V. Tresp. Multi-label informed latent semantic indexing. In SIGIR, pages 258-265, 2005.
    • (2005) SIGIR , pp. 258-265
    • Yu, K.1    Yu, S.2    Tresp, V.3
  • 36
    • 33749566317 scopus 로고    scopus 로고
    • Supervised probabilistic principal component analysis
    • S. Yu, K. Yu, V. Tresp, H.-P. Kriegel, and M. Wu. Supervised probabilistic principal component analysis. In KDD, pages 464-473, 2006.
    • (2006) KDD , pp. 464-473
    • Yu, S.1    Yu, K.2    Tresp, V.3    Kriegel, H.-P.4    Wu, M.5
  • 37
    • 36448946815 scopus 로고    scopus 로고
    • Combining content and link for classification using matrix factorization
    • S. Zhu, K. Yu, Y. Chi, and Y. Gong. Combining content and link for classification using matrix factorization. In SIGIR, pages 487-494, 2007.
    • (2007) SIGIR , pp. 487-494
    • Zhu, S.1    Yu, K.2    Chi, Y.3    Gong, Y.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.