Efficient learning of hierarchical latent class models

Proceedings - International Conference on Tools with Artificial Intelligence, ICTAI

Volumn , Issue , 2004, Pages 586-593

  Zhang, Nevin L ^a   Kočka, Tomáš ^b  

^a HONG KONG UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Hong Kong)

^b UNIVERSITY OF ECONOMICS   (Czech Republic)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COMPUTATIONAL COMPLEXITY; DATA REDUCTION; MATHEMATICAL OPERATORS; OPTIMIZATION; TREES (MATHEMATICS);

BAYESIAN NETWORKS (BN); CLUSTER ANALYSIS; HIERARCHICAL LATENT CLASS (HLC); PARAMETER OPTIMIZATION;

LEARNING SYSTEMS;

EID: 16244392379     PISSN: 10823409     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (8)

1. D. Connolly (1993). Constructing hidden variables in Bayesian networks via conceptual learning. ICML-93, 65-72.
2. N. Friedman (1997). Learning belief networks in the presence of missing values and hidden variables. ICML-97, 125-133.
3. P. F. Lazarsfeld, and N. W. Henry(1968). Latent structure analysis. Boston: Houghton Mifflin.
4. C. Meek (1997). Graphical models: Selection causal and statistical models. Ph.D. Thesis, Carnegie Mellon University.
5. J. Pearl (pearlSS). Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference Morgan Kaufmann Publishers, Palo Alto.
6. G. Schwarz (1978). Estimating the dimension of a model. Annals of Statistics, 6(2), 461-464.
7. P. van er Putten and M. van Someren (eds.) (2002). COIL Challenge 2000: The insurance company case. Sentient Machine Research, Amsterdam.
8. N. L. Zhang (2002). Hierarchical latent class models for cluster analysis. AAAI-02, 230-237.