BICA: a Boolean independent component analysis algorithm

被引：0

作者：

Apolloni, B ^{[1
]}

Malchiodi, D ^{[1
]}

Brega, A ^{[1
]}

机构：

[1] Univ Milan, Dipartimento Sci Informaz, I-20135 Milan, Italy

来源：

HIS 2005: 5th International Conference on Hybrid Intelligent Systems, Proceedings | 2005年

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

We 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 ditty: 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.

引用

页码：131 / 136

页数：6

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