On the public citation graph
Entropy optimization
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Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/bf00199896openalex-snapshot
Non-linear data structure extraction using simple hebbian networks
inferredcites →https://doi.org/10.1016/0165-1684(91)90079-xopenalex-snapshot
Blind separation of sources, part I: An adaptive algorithm based on neuromimetic architecture
inferredcites →https://doi.org/10.1016/0165-1684(94)90029-9openalex-snapshot
Independent component analysis, A new concept?
inferredcites →https://doi.org/10.1109/2.36openalex-snapshot
Self-organization in a perceptual network
inferredcites →https://doi.org/10.1109/72.572090openalex-snapshot
A class of neural networks for independent component analysis
inferredcites →https://doi.org/10.1109/78.553476openalex-snapshot
Equivariant adaptive source separation
inferredcites →https://doi.org/10.1162/neco.1997.9.7.1457openalex-snapshot
Adaptive Online Learning Algorithms for Blind Separation: Maximum Entropy and Minimum Mutual Information
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/3-540-44869-1_29openalex-snapshot
Initialisation of Nonlinearities for PNL and Wiener systems Inversion
inferred← citeshttps://doi.org/10.1007/3-540-45723-2_101openalex-snapshot
Separating Convolutive Mixtures by Mutual Information Minimization
inferred← citeshttps://doi.org/10.1007/978-1-4471-0877-1_7openalex-snapshot
Polynomial Clusterons Exhibit Statistical Estimation Abilities
inferred← citeshttps://doi.org/10.1007/978-3-540-30110-3_2openalex-snapshot
Blind Source Separation by Adaptive Estimation of Score Function Difference
inferred← citeshttps://doi.org/10.1016/j.sigpro.2003.10.008openalex-snapshot
Linear and nonlinear ICA based on mutual information—the MISEP method
inferred← citeshttps://doi.org/10.1016/j.sigpro.2016.09.006openalex-snapshot
Blind noisy mixture separation for independent/dependent sources through a regularized criterion on copulas
inferred← citeshttps://doi.org/10.1023/a:1009635129159openalex-snapshot
Probability Density Estimation Using Adaptive Activation Function Neurons
inferred← citeshttps://doi.org/10.1109/ams.2008.61openalex-snapshot
A New Method for Active Noise Cancellation in the Presence of Three Unknown Moving Sources
inferred← citeshttps://doi.org/10.1109/sam48682.2020.9104250openalex-snapshot
Separation of recto-verso documents using copula based dependent source separation
inferred← citeshttps://doi.org/10.1162/jmlr.2003.4.7-8.1297openalex-snapshot
10.1162/jmlr.2003.4.7-8.1297
inferred← citeshttps://doi.org/10.2200/s00016ed1v01y200602spr002openalex-snapshot
Nonlinear Source Separation
inferred← citeshttps://doi.org/10.23939/mmc2021.04.761openalex-snapshot
Robust approach for blind separation of noisy mixtures of independent and dependent sources
inferred← citeshttps://doi.org/10.70675/de886ab2z201az4380z86fcz6c49fc0a9dc0openalex-snapshot
Utilisation des Copules en Séparation Aveugle de Sources Indépendantes/Dépendantes
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