Bayesian Independent Component Analysis with prior constraints: An application in biosignal analysis
In many data-driven machine learning problems it is useful to consider the data as generated from a set of unknown (latent) generators or sources. The observations we make are then taken to be related to these sources through some unknown functionaility. Furthermore, the (unknown) number of underlyi...
| Main Authors: | , |
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| Format: | Journal article |
| Language: | English |
| Published: |
2005
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