On a joint simultaneous learning of relevant feature subsets and subspaces in regression-like problems

arXiv:2607. 28080v1 Announce Type: cross Abstract: We extend a recently introduced Entropy-Optimal Manifold Clustering (EOMC) to allow for a joint simultaneous identification of subsets and subspaces of relevant features in nonstationary and nonlinear regression problems.

Summary generated by The Flow from the publisher's feed. The full article lives at arXiv Machine Learning.

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• benchmarks