Hierarchical latent class models and statistical foundation for traditional Chinese medicine

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 4594 LNAI, Issue , 2007, Pages 139-143

  Zhang, Nevin L ^a   Yuan, Shihong ^b   Chen, Tao ^a   Wang, Yi ^a  

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

^b BEIJING UNIVERSITY OF CHINESE MEDICINE   (China)

Author keywords

[No Author keywords available]

Indexed keywords

DATA REDUCTION; DATA STRUCTURES; HEALTH CARE; LEARNING SYSTEMS; STATISTICAL METHODS;

TCM DATA; TCM THEORIES; TRADITIONAL CHINESE MEDICINE (TCM);

MATHEMATICAL MODELS;

EID: 35148870102     PISSN: 03029743     EISSN: 16113349     Source Type: Conference Proceeding    
DOI: 10.1007/978-3-540-73599-1_15     Document Type: Conference Paper

References (5)

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3. Schwarz, G.: Estimating the dimension of a model. Annals of Statistics 6(2), 461-464 (1978)
4. Zhang, N.L.: Hierarchical latent class models for cluster analysis. Journal of Machine Learning Research 5(6), 697-723 (2004)
5. Zhang, N.L., Kocka, T.: Efficient Learning of Hierarchical Latent Class Models. In: Proc. of the 16th IEEE International Conference on Tools with Artificial Intelligence, Boca Raton, Florida (2004)