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Fig. 3 | BMC Bioinformatics

Fig. 3

From: Noisecut: a python package for noise-tolerant classification of binary data using prior knowledge integration and max-cut solutions

Fig. 3

A tree-structured FN \(\mathcal {F}: x \in \{0, 1\}^N \longmapsto y \in \{0, 1\}\), which maps binary-represented data to binary output. The FN has M first-layer boxes, operating on separate subsets of the input variables: \(f_m = \textrm{F}_m(\text {Decimal}\Big ([x_m^i]_{i=1}^{i=n_m}\Big ))\). The output box in the second layer processes the outcomes of the first-layer boxes towards the overall output of the FN: \(y = \textrm{F}_O(\text {Decimal}\Big ([f_i]_{i=1}^{i=M}\Big ))\)

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BMC Bioinformatics

ISSN: 1471-2105

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