Resolution of singularities in mixture models and its stochastic complexity

ICONIP 2002 - Proceedings of the 9th International Conference on Neural Information Processing: Computational Intelligence for the E-Age

Volumn 3, Issue , 2002, Pages 1355-1359

  Yamazaki, K ^a   Watanabe, S ^a  

^a TOKYO INSTITUTE OF TECHNOLOGY   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

ALGEBRA; ARTIFICIAL INTELLIGENCE; BAYESIAN NETWORKS; INFORMATION SCIENCE; LEARNING SYSTEMS; STOCHASTIC SYSTEMS;

BAYESIAN ESTIMATIONS; GENERALIZATION ERROR; GENERALIZATION PROPERTIES; GEOMETRICAL METHODS; RESOLUTION OF SINGULARITIES; STATISTICAL INFERENCE; STATISTICAL MODELING; STOCHASTIC COMPLEXITY;

STOCHASTIC MODELS;

EID: 84968585977     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICONIP.2002.1202842     Document Type: Conference Paper

References (7)

1. Amari, S. and Ozeki, T. (2001) IEICE Trans, E84-A (1), 31-38.
2. Schwarz,G. (1978) Ann. of Stat., 6 (2), 461-464.
3. Watanabe.S. (1999) Lecture Notes on Computer Science, 1720, 39-50, Springer.
4. Watanabe.S. (2001a) Neural Computation, 13 (4), 899-933.
5. Watanabe.S. (2001b) Neural Networks, 14 (8), 1049-1060.
6. Watanabe.S. (2001c) Advances in Neural Information Processing Systems, MIT Press, 14, 329-336.
7. Yamazaki,K, and Watanabe,S. (2002) IEICE Trans, J85-D-II (3), 363-372.