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Recognition and Geometrical On-line Learning Algorithm of Probability Distributions
Como, Italy July 24-July 27
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/IJCNN.2000.861300IEEE-INNS-ENNS International Joint Co ...
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Toshiaki Aida, Tokyo Institute of 'Technology
An on-line learning algorithm for probability distributions is constructed in a reparameterization invariant form. It enables us to identify the distributions, which transform from one to another by reparameterization. This is an essential property not only for pattern recognition problems but also for the property of 'information'. We can find the algorithm to be optimal, since conformal gauge reduces the problem to a non-covariant case.
Citation:
Toshiaki Aida, "Recognition and Geometrical On-line Learning Algorithm of Probability Distributions," ijcnn, vol. 3, pp.3175, IEEE-INNS-ENNS International Joint Conference on Neural Networks (IJCNN'00)-Volume 3, 2000
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