메뉴 건너뛰기




Volumn 3, Issue , 2014, Pages 2364-2378

Estimating diffusion network structures: Recovery conditions, sample complexity & soft-thresholding algorithm

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; ARTIFICIAL INTELLIGENCE; CONTINUOUS TIME SYSTEMS; DIFFUSION; INFERENCE ENGINES; LEARNING SYSTEMS; RECOVERY;

EID: 84919933782     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (49)

References (23)
  • 2
    • 33748871742 scopus 로고    scopus 로고
    • Tracking information epidemics in blog space
    • Adar, E. and Adamic, L. A. Tracking Information Epidemics in Blogspace. In Web Intelligence, pp. 207-214, 2005.
    • (2005) Web Intelligence , pp. 207-214
    • Adar, E.1    Adamic, L.A.2
  • 3
    • 0038483826 scopus 로고    scopus 로고
    • Emergence of scaling in random networks
    • Barabasi, A.-L. and Albert, R. Emergence of Scaling in Random Networks. Science, 286:509-512, 1999.
    • (1999) Science , vol.286 , pp. 509-512
    • Barabasi, A.-L.1    Albert, R.2
  • 6
    • 84877742268 scopus 로고    scopus 로고
    • Learning networks of heterogeneous influence
    • Du, N., Song, L., Smola, A., and Yuan, M. Learning Networks of Heterogeneous Influence. In NIPS, 2012a.
    • (2012) NIPS
    • Du, N.1    Song, L.2    Smola, A.3    Yuan, M.4
  • 7
    • 84988952340 scopus 로고    scopus 로고
    • Uncover topic- sensitive information diffusion networks
    • Du, N., Song, L., Woo, H., and Zha, H. Uncover Topic- Sensitive Information Diffusion Networks. In AISTATS, 2012b.
    • (2012) AISTATS
    • Du, N.1    Song, L.2    Woo, H.3    Zha, H.4
  • 8
  • 9
    • 80053444447 scopus 로고    scopus 로고
    • Uncovering the temporal dynamics of diffusion networks
    • Gomez-Rodriguez, M., Balduzzi, D., and Scholkopf, B. Uncovering the Temporal Dynamics of Diffusion Networks. In ICML, 2011.
    • (2011) ICML
    • Gomez-Rodriguez, M.1    Balduzzi, D.2    Scholkopf, B.3
  • 10
    • 84919923765 scopus 로고    scopus 로고
    • Ph.D. Thesis. Stanford University & MPI for Intelligent Systems
    • Gomez-Rodriguez, Manuel. Ph.D. Thesis. Stanford University & MPI for Intelligent Systems, 2013.
    • (2013) Manuel
    • Gomez-Rodriguez1
  • 12
    • 33747172362 scopus 로고    scopus 로고
    • Maximizing the spread of influence through a social network
    • Kempe, D., Kleinberg, J. M., and Tardos, E. Maximizing the Spread of Influence Through a Social Network. In KDD, 2003.
    • (2003) KDD
    • Kempe, D.1    Kleinberg, J.M.2    Tardos, E.3
  • 14
    • 0023960693 scopus 로고
    • A simple characterization of solution sets of convex programs
    • Mangasarian, O. L. A simple characterization of solution sets of convex programs. Operations Research Letters, 7(1):21-26, 1988.
    • (1988) Operations Research Letters , vol.7 , Issue.1 , pp. 21-26
    • Mangasarian, O.L.1
  • 16
    • 70350096085 scopus 로고
    • Large sample estimation and hypothesis testing
    • Newey, W. K. and McFadden, D. L. Large Sample Estimation and Hypothesis Testing. In Handbook of Econometrics, volume 4, pp. 2111-2245. 1994.
    • (1994) Handbook of Econometrics , vol.4 , pp. 2111-2245
    • Newey, W.K.1    McFadden, D.L.2
  • 18
    • 77951455815 scopus 로고    scopus 로고
    • High- dimensional Ising model selection using 11-regularized logistic regression
    • Ravikumar, P., Wainwright, M. J., and Lafferty, J. D. High- dimensional ising model selection using 11-regularized logistic regression. The Annals of Statistics, 38(3): 1287- 1319, 2010.
    • (2010) The Annals of Statistics , vol.38 , Issue.3 , pp. 1287-1319
    • Ravikumar, P.1    Wainwright, M.J.2    Lafferty, J.D.3
  • 20
    • 70549111711 scopus 로고    scopus 로고
    • Learning continuous-time information diffusion model for social behavioral data analysis
    • Saito, K., Kimura, M., Ohara, K., and Motoda, H. Learning continuous-time information diffusion model for social behavioral data analysis. Advances in Machine Learning, pp. 322-337, 2009.
    • (2009) Advances in Machine Learning , pp. 322-337
    • Saito, K.1    Kimura, M.2    Ohara, K.3    Motoda, H.4
  • 22
    • 65749083666 scopus 로고    scopus 로고
    • Sharp thresholds for high-dimensional and noisy sparsity recovery using 11-constrained quadratic programming (lasso)
    • Wainwright, M. J. Sharp thresholds for high-dimensional and noisy sparsity recovery using 11-constrained quadratic programming (lasso). IEEE Transactions on Information Theory, 55(5):2183-2202, 2009.
    • (2009) IEEE Transactions on Information Theory , vol.55 , Issue.5 , pp. 2183-2202
    • Wainwright, M.J.1
  • 23
    • 84911039359 scopus 로고    scopus 로고
    • Feature-enhanced probabilistic models for diffusion network inference
    • Wang, L., Ermon, S., and Hopcroft, J. Feature-enhanced probabilistic models for diffusion network inference. In ECML PKDD, 2012.
    • (2012) ECML PKDD
    • Wang, L.1    Ermon, S.2    Hopcroft, J.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.