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Volumn , Issue PART 2, 2013, Pages 1667-1675

Spectral learning of hidden Markov models from dynamic and static data

Author keywords

[No Author keywords available]

Indexed keywords

CONVEX OPTIMIZATION; LEARNING ALGORITHMS; LEARNING SYSTEMS; TIME SERIES;

EID: 84897489198     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (1)

References (16)
  • 1
    • 84877776210 scopus 로고    scopus 로고
    • Spectral learning of general weighted automata via constrained matrix completion
    • Balle, Borja and Mohri, Mehryar. Spectral learning of general weighted automata via constrained matrix completion. In Advances in Neural Information Processing Systems 25, pp. 2168-2176, 2012.
    • (2012) Advances in Neural Information Processing Systems 25 , pp. 2168-2176
    • Balle, B.1    Mohri, M.2
  • 3
    • 0003713964 scopus 로고    scopus 로고
    • Athena Scientific, Belmont, MA 02178-9998, second edition
    • Bertsekas, Dimitri P. Nonlinear Programming. Athena Scientific, Belmont, MA 02178-9998, second edition, 1999.
    • (1999) Nonlinear Programming
    • Bertsekas, D.P.1
  • 4
    • 80051762104 scopus 로고    scopus 로고
    • Distributed optimization and statistical learning via the alternating direction method of multipliers
    • Boyd, S., Parikh, N., Chu, E., Peleato, B., and Eckstein, J. 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
    • 77951291046 scopus 로고    scopus 로고
    • A singular value thresholding algorithm for matrix completion
    • Cai, J.F., Candes, E.J., and Shen, Z. A singular value thresholding algorithm for matrix completion. SIAM Journal on Optimization, 20(4):1956-1982, 2010.
    • (2010) SIAM Journal on Optimization , vol.20 , Issue.4 , pp. 1956-1982
    • Cai, J.F.1    Candes, E.J.2    Shen, Z.3
  • 6
    • 84866248858 scopus 로고    scopus 로고
    • Smoothing proximal gradient method for general structured sparse regression
    • Chen, X., Lin, Q., Kim, S., Carbonell, J.G., and Xing, E.P. Smoothing proximal gradient method for general structured sparse regression. The Annals of Applied Statistics, 6(2):719-752, 2012.
    • (2012) The Annals of Applied Statistics , vol.6 , Issue.2 , pp. 719-752
    • Chen, X.1    Lin, Q.2    Kim, S.3    Carbonell, J.G.4    Xing, E.P.5
  • 10
    • 17444406259 scopus 로고    scopus 로고
    • Smooth minimization of non-smooth functions
    • DOI 10.1007/s10107-004-0552-5
    • Nesterov, Y. Smooth minimization of non-smooth functions. Mathematical Programming, 103(1): 127-152, 2005. (Pubitemid 40537674)
    • (2005) Mathematical Programming , vol.103 , Issue.1 , pp. 127-152
    • Nesterov, Y.1
  • 11
    • 0024610919 scopus 로고
    • A tutorial on hidden Markov models and selected applications in speech recognition
    • Rabiner, Lawrence R. A tutorial on hidden Markov models and selected applications in speech recognition. Proceedings of the IEEE, 77(2):257-285, 1989.
    • (1989) Proceedings of the IEEE , vol.77 , Issue.2 , pp. 257-285
    • Rabiner, L.R.1
  • 13
    • 0347243182 scopus 로고    scopus 로고
    • Nonlinear component analysis as a kernel eigenvalue problem
    • Schölkopf, B., Smola, A., and Müller, K.R. Nonlinear component analysis as a kernel eigenvalue problem. Neural computation, 10(5):1299-1319, 1998.
    • (1998) Neural Computation , vol.10 , Issue.5 , pp. 1299-1319
    • Schölkopf, B.1    Smola, A.2    Müller, K.R.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.