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Volumn , Issue , 2009, Pages 833-840

Independent factor topic models

Author keywords

[No Author keywords available]

Indexed keywords

CONDITIONAL INDEPENDENCE ASSUMPTION; LATENT DIRICHLET ALLOCATIONS; LINEAR LATENT VARIABLES; LOG LIKELIHOOD; NEWTON-RAPHSON; OBJECTIVE FUNCTIONS; STATISTICAL TOOLS; SYNTHETIC AND REAL DATA; TEXT DOCUMENT; TOPIC MODEL; VARIATIONAL INFERENCE;

EID: 71149121872     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (21)

References (9)
  • 6
    • 0038132749 scopus 로고    scopus 로고
    • A variational method for learning sparse and overcomplete representations
    • Girolami, M. (2001). A variational method for learning sparse and overcomplete representations. Neural Computation, 13, 2517-2532.
    • (2001) Neural Computation , vol.13 , pp. 2517-2532
    • Girolami, M.1
  • 9
    • 0001766512 scopus 로고
    • Some contributions to maximum likelihood factor analysis
    • Joreskog, K. G. (1967). Some contributions to maximum likelihood factor analysis. Psychometrika, 32, 443-482.
    • (1967) Psychometrika , vol.32 , pp. 443-482
    • Joreskog, K.G.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.