REVIEW 2 cited by
A Review of Feature Selection Methods Based on Mutual Information
Not yet reviewed by Pith; the record is open.
This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.
SPECIMEN: schema-true, not a live event
T0 review · schema-true
One-sentence machine reading of the paper's core claim.
pith:XXXXXXXX · record.json · timestamp
read the original abstract
In this work we present a review of the state of the art of information theoretic feature selection methods. The concepts of feature relevance, redundance and complementarity (synergy) are clearly defined, as well as Markov blanket. The problem of optimal feature selection is defined. A unifying theoretical framework is described, which can retrofit successful heuristic criteria, indicating the approximations made by each method. A number of open problems in the field are presented.
Forward citations
Cited by 2 Pith papers
-
$\Lambda$CDM and early dark energy in latent space: a data-driven parametrization of the CMB temperature power spectrum
A variational autoencoder compresses CMB temperature spectra into 5 (LambdaCDM) or 8 (with early dark energy) latent parameters that reconstruct the data within Planck errors and can be constrained with Planck observations.
-
Exploring the link between galaxy assembly and dark matter halo assembly in IllustrisTNG: Insights from the Mutual Information
In IllustrisTNG, the mutual information between galaxy formation efficiency and halo assembly time exceeds that of colour, sSFR, or cluster observables, especially for low-mass central galaxies.
Discussion (0). Continue with ORCID to comment.