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Volumn 2015-August, Issue , 2015, Pages 1265-1274

Rubik: Knowledge guided tensor factorization and completion for health data analytics

Author keywords

Computational phenotyping; Constraint optimization; Healthcare analytics; Tensor analysis

Indexed keywords

CONSTRAINED OPTIMIZATION; FACTORIZATION; TENSORS;

EID: 84954137745     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2783258.2783395     Document Type: Conference Paper
Times cited : (172)

References (33)
  • 4
    • 80051762104 scopus 로고    scopus 로고
    • Distributed optimization and statistical learning via the alternating direction method of multipliers
    • S. Boyd, N. Parikh, E. Chu, B. Peleato, and J. Eckstein. Distributed optimization and statistical learning via the alternating direction method of multipliers. Foundations and Trends in Machine Learning, 3(1):1-122, 2011.
    • (2011) Foundations and Trends in Machine Learning , vol.3 , Issue.1 , pp. 1-122
    • Boyd, S.1    Parikh, N.2    Chu, E.3    Peleato, B.4    Eckstein, J.5
  • 5
    • 34250252877 scopus 로고
    • Candelinc: A general approach to multidimensional analysis of many-way arrays with linear constraints on parameters
    • J. D. Carroll, S. Pruzansky, and J. B. Kruskal. Candelinc: A general approach to multidimensional analysis of many-way arrays with linear constraints on parameters. Psychometrika, 45(1):3-24, 1980.
    • (1980) Psychometrika , vol.45 , Issue.1 , pp. 3-24
    • Carroll, J.D.1    Pruzansky, S.2    Kruskal, J.B.3
  • 8
    • 84888200992 scopus 로고    scopus 로고
    • Applying active learning to high-throughput phenotyping algorithms for electronic health records data
    • Y. Chen et al. Applying active learning to high-throughput phenotyping algorithms for electronic health records data. JAMIA, 2013.
    • (2013) JAMIA
    • Chen, Y.1
  • 10
    • 85018832771 scopus 로고    scopus 로고
    • Network discovery via constrained tensor analysis of fmri data
    • I. Davidson, S. Gilpin, O. Carmichael, and P. Walker. Network discovery via constrained tensor analysis of fmri data. In KDD, 2013.
    • (2013) KDD
    • Davidson, I.1    Gilpin, S.2    Carmichael, O.3    Walker, P.4
  • 11
    • 77952822074 scopus 로고    scopus 로고
    • Phewas: Demonstrating the feasibility of a phenome-wide scan to discover gene disease associations
    • J. C. Denny et al. Phewas: demonstrating the feasibility of a phenome-wide scan to discover gene disease associations. Bioinformatics, 26(9):1205-1210, 2010.
    • (2010) Bioinformatics , vol.26 , Issue.9 , pp. 1205-1210
    • Denny, J.C.1
  • 12
    • 84890107642 scopus 로고    scopus 로고
    • Systematic comparison of phenome-wide association study of electronic medical record data and genome-wide association study data
    • J. C. Denny et al. Systematic comparison of phenome-wide association study of electronic medical record data and genome-wide association study data. Nature Biotechnology, 31(12):1102-1111, 2013.
    • (2013) Nature Biotechnology , vol.31 , Issue.12 , pp. 1102-1111
    • Denny, J.C.1
  • 13
    • 84921067095 scopus 로고    scopus 로고
    • Link prediction in heterogeneous data via generalized coupled tensor factorization
    • B. Ermiş, E. Acar, and A. T. Cemgil. Link prediction in heterogeneous data via generalized coupled tensor factorization. Data Mining and Knowledge Discovery, 29(1):203-236, 2015.
    • (2015) Data Mining and Knowledge Discovery , vol.29 , Issue.1 , pp. 203-236
    • Ermiş, B.1    Acar, E.2    Cemgil, A.T.3
  • 15
    • 84907024756 scopus 로고    scopus 로고
    • Marble: High-throughput phenotyping from electronic health records via sparse nonnegative tensor factorization
    • J. C. Ho, J. Ghosh, and J. Sun. Marble: high-throughput phenotyping from electronic health records via sparse nonnegative tensor factorization. In KDD, 2014.
    • (2014) KDD
    • Ho, J.C.1    Ghosh, J.2    Sun, J.3
  • 17
    • 79955035027 scopus 로고    scopus 로고
    • Electronic medical records for genetic research: Results of the emerge consortium
    • A. N. Kho et al. Electronic medical records for genetic research: Results of the emerge consortium. Science Translational Medicine, 3(79):79re1, 2011.
    • (2011) Science Translational Medicine , vol.3 , Issue.79
    • Kho, A.N.1
  • 18
    • 84949178333 scopus 로고    scopus 로고
    • Fast nonnegative tensor factorization with an active-set-like method
    • Springer
    • J. Kim and H. Park. Fast nonnegative tensor factorization with an active-set-like method. In High-Performance Scientific Computing, pages 311-326. Springer, 2012.
    • (2012) High-Performance Scientific Computing , pp. 311-326
    • Kim, J.1    Park, H.2
  • 19
    • 68649096448 scopus 로고    scopus 로고
    • Tensor decompositions and applications
    • T. G. Kolda and B. W. Bader. Tensor decompositions and applications. SIAM review, 51(3):455-500, 2009.
    • (2009) SIAM Review , vol.51 , Issue.3 , pp. 455-500
    • Kolda, T.G.1    Bader, B.W.2
  • 21
    • 85162350693 scopus 로고    scopus 로고
    • Linearized alternating direction method with adaptive penalty for low-rank representation
    • Z. Lin, R. Liu, and Z. Su. Linearized alternating direction method with adaptive penalty for low-rank representation. In NIPS, 2011.
    • (2011) NIPS
    • Lin, Z.1    Liu, R.2    Su, Z.3
  • 23
    • 84959917731 scopus 로고    scopus 로고
    • Factor matrix trace norm minimization for low-rank tensor completion
    • Y. Liu, F. Shang, H. Cheng, J. Cheng, and H. Tong. Factor matrix trace norm minimization for low-rank tensor completion. In SDM, 2014.
    • (2014) SDM
    • Liu, Y.1    Shang, F.2    Cheng, H.3    Cheng, J.4    Tong, H.5
  • 24
    • 84919948669 scopus 로고    scopus 로고
    • Square deal: Lower bounds and improved relaxations for tensor recovery
    • C. Mu, B. Huang, J. Wright, and D. Goldfarb. Square deal: Lower bounds and improved relaxations for tensor recovery. In ICML, 2013.
    • (2013) ICML
    • Mu, C.1    Huang, B.2    Wright, J.3    Goldfarb, D.4
  • 27
    • 84890479944 scopus 로고    scopus 로고
    • Electronic health records-driven phenotyping: Challenges, recent advances, and perspectives
    • J. Pathak, A. N. Kho, and J. Denny. Electronic health records-driven phenotyping: challenges, recent advances, and perspectives. Journal of the American Medical Informatics Association, 20(e2):e206-e211, 2013.
    • (2013) Journal of the American Medical Informatics Association , vol.20 , Issue.E2 , pp. e206-e211
    • Pathak, J.1    Kho, A.N.2    Denny, J.3
  • 28
    • 84898929494 scopus 로고    scopus 로고
    • A new convex relaxation for tensor completion
    • B. Romera-Paredes and M. Pontil. A new convex relaxation for tensor completion. In NIPS, 2013.
    • (2013) NIPS
    • Romera-Paredes, B.1    Pontil, M.2
  • 29
    • 84894616525 scopus 로고    scopus 로고
    • Learning with tensors: A framework based on convex optimization and spectral regularization
    • M. Signoretto, Q. T. Dinh, L. De Lathauwer, and J. A. Suykens. Learning with tensors: a framework based on convex optimization and spectral regularization. Machine Learning, 94(3):303-351, 2014.
    • (2014) Machine Learning , vol.94 , Issue.3 , pp. 303-351
    • Signoretto, M.1    Dinh, Q.T.2    De Lathauwer, L.3    Suykens, J.A.4
  • 31
    • 84899031700 scopus 로고    scopus 로고
    • Convex tensor decomposition via structured schatten norm regularization
    • R. Tomioka and T. Suzuki. Convex tensor decomposition via structured schatten norm regularization. In NIPS, 2013.
    • (2013) NIPS
    • Tomioka, R.1    Suzuki, T.2
  • 32
    • 0034861343 scopus 로고    scopus 로고
    • Positive tensor factorization
    • M. Welling and M. Weber. Positive tensor factorization. Pattern Recognition Letters, 22(12):1255-1261, 2001.
    • (2001) Pattern Recognition Letters , vol.22 , Issue.12 , pp. 1255-1261
    • Welling, M.1    Weber, M.2
  • 33
    • 84885030988 scopus 로고    scopus 로고
    • A block coordinate descent method for regularized multiconvex optimization with applications to nonnegative tensor factorization and completion
    • Y. Xu and W. Yin. A block coordinate descent method for regularized multiconvex optimization with applications to nonnegative tensor factorization and completion. SIAM Journal on Imaging Sciences, 6(3):1758-1789, 2013.
    • (2013) SIAM Journal on Imaging Sciences , vol.6 , Issue.3 , pp. 1758-1789
    • Xu, Y.1    Yin, W.2


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