Patent ID: 11948083
Assignee: UMNAI LIMITED
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 22:
23. The method of claim 1, wherein forming the white-box autoencoder further comprises an external partitioning method or querying a black-box autoencoder with the training dataset and partitioning the output of the queried black-box autoencoder to identify a plurality of rules, coefficients, and/or constraints of the white-box autoencoder, wherein the black-box autoencoder comprises at least one of a black-box encoder and a black-box decoder; and further comprising measuring a reconstruction loss between the white-box autoencoder and black-box autoencoder, and transforming one or more features identified from the training dataset using at least one of polynomial expansions, rotations, dimensional and dimensionless scaling, Fourier transforms, Walsh functions, state-space and phase-space transforms, Haar and non-Haar wavelets, generalized L2 functions, fractal-based transforms, Hadamard transforms, Type 1 and Type 2 fuzzy logic, knowledge graph networks, categorical encoding, topological transforms of Kolmogorov/Frechet/Hausdorff/Tychonoff spaces, difference analysis, and normalization/standardization/binning/bucketization.