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Volumn 9, Issue , 2010, Pages 741-748

Reduced-Rank Hidden Markov Models

Author keywords

[No Author keywords available]

Indexed keywords

ERROR BOUND; HIDDEN MARKOV MODELS (HMMS); PREDICTION ACCURACY; PREDICTIVE STATE REPRESENTATION; REDUCED-RANK; SIMULATION QUALITY; SPECTRAL LEARNING ALGORITHMS; SYNTHETIC DATA; TRANSITION MATRICES;

EID: 84862280155     PISSN: 15324435     EISSN: 15337928     Source Type: Journal    
DOI: None     Document Type: Conference Paper
Times cited : (33)

References (16)
  • 2
    • 0034170950 scopus 로고    scopus 로고
    • Variational learning for switching state-space models
    • Ghahramani, Z., & Hinton, G. E. (2000). Variational learning for switching state-space models. Neural Comp., 12.
    • (2000) Neural Comp. , vol.12
    • Ghahramani, Z.1    Hinton, G.E.2
  • 4
    • 84898066687 scopus 로고    scopus 로고
    • A spectral algorithm for learning hidden Markov models
    • Hsu, D., Kakade, S., & Zhang, T. (2009). A spectral algorithm for learning hidden markov models. COLT.
    • (2009) COLT
    • Hsu, D.1    Kakade, S.2    Zhang, T.3
  • 5
    • 0034198996 scopus 로고    scopus 로고
    • Observable operator models for discrete stochastic time series
    • Jaeger, H. (2000). Observable operator models for discrete stochastic time series. Neural Computation, 12, 1371-1398.
    • (2000) Neural Computation , vol.12 , pp. 1371-1398
    • Jaeger, H.1
  • 8
    • 0024610919 scopus 로고
    • A tutorial on hidden Markov models and selected applications in speech recognition
    • Rabiner, L. R. (1989). A tutorial on Hidden Markov Models and Selected Applications in Speech Recognition. Proc. IEEE.
    • (1989) Proc. IEEE
    • Rabiner, L.R.1
  • 9
    • 14344256568 scopus 로고    scopus 로고
    • Learning low dimensional predictive representations
    • Rosencrantz, M., Gordon, G., & Thrun, S. (2004). Learning low dimensional predictive representations. Proc. ICML.
    • (2004) Proc. ICML
    • Rosencrantz, M.1    Gordon, G.2    Thrun, S.3
  • 10
    • 84991580149 scopus 로고    scopus 로고
    • A constraint generation approach to learning stable linear dynamical systems
    • Siddiqi, S., Boots, B., & Gordon, G. (2007). A constraint generation approach to learning stable linear dynamical systems. Proc. NIPS.
    • (2007) Proc. NIPS
    • Siddiqi, S.1    Boots, B.2    Gordon, G.3
  • 13
    • 31844457132 scopus 로고    scopus 로고
    • Predictive state representations: A new theory for modeling dynamical systems
    • Singh, S., James, M., & Rudary, M. (2004). Predictive state representations: A new theory for modeling dynamical systems. Proc. UAI.
    • (2004) Proc. UAI
    • Singh, S.1    James, M.2    Rudary, M.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.