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BICA: a Boolean independent component analysis algorithm
Bruno Apolloni, Andrea Brega and Dario Malchiodi
In: HIS 2005, 6-9 Nov 2005, Rio de Janeiro, Brasil.
AbstractWe introduce a procedure for mapping general data
records onto Boolean vectors, in the philosophy of ICA procedures.
The task is demanded of a neural network with
double duty: i) extracting a compressed version of the data
in a tight hidden layer of a self-associative multilayer architecture,
and ii) mapping it onto Boolean vectors that optimize
an entropic target. We prove that the components of
these vectors are approximately independent and appreciate
their ability to preserve data information in a statistically
driven solution of benchmark classification problems. | EPrint Type: | Conference or Workshop Item (Paper) |
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| Project Keyword: | Project Keyword UNSPECIFIED |
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| Subjects: | Theory & Algorithms |
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| ID Code: | 1332 |
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| Deposited By: | Dario Malchiodi |
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| Deposited On: | 28 November 2005 |
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