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- Infomax abstract "Infomax is an optimization principle for artificial neural networks and other information processing systems. It prescribes that a function that maps a set of input values I to a set of output values O should be chosen or learned so as to maximize the average Shannon mutual information between I and O, subject to a set of specified constraints and/or noise processes. Infomax algorithms are learning algorithms that perform this optimization process. The principle was described by Linsker in 1988.Infomax, in its zero-noise limit, is related to the principle of redundancy reduction proposed for biological sensory processing by Horace Barlow in 1961, and applied quantitatively to retinal processing by Atick and Redlich.One of the applications of infomax has been to an independent component analysis algorithm that finds independent signals by maximising entropy. Infomax-based ICA was described by Bell and Sejnowski in 1995.".
- Infomax wikiPageExternalLink S0042-6989(97)00121-1.
- Infomax wikiPageID "9835466".
- Infomax wikiPageLength "2907".
- Infomax wikiPageOutDegree "10".
- Infomax wikiPageRevisionID "637584249".
- Infomax wikiPageWikiLink Algorithm.
- Infomax wikiPageWikiLink Artificial_neural_network.
- Infomax wikiPageWikiLink Category:Artificial_neural_networks.
- Infomax wikiPageWikiLink Category:Computational_neuroscience.
- Infomax wikiPageWikiLink Claude_Shannon.
- Infomax wikiPageWikiLink Entropy.
- Infomax wikiPageWikiLink Horace_Barlow.
- Infomax wikiPageWikiLink Independent_component_analysis.
- Infomax wikiPageWikiLink Mutual_information.
- Infomax wikiPageWikiLinkText "infomax".
- Infomax wikiPageUsesTemplate Template:Cite_book.
- Infomax wikiPageUsesTemplate Template:Cite_journal.
- Infomax wikiPageUsesTemplate Template:Mathapplied-stub.
- Infomax wikiPageUsesTemplate Template:Reflist.
- Infomax subject Category:Artificial_neural_networks.
- Infomax subject Category:Computational_neuroscience.
- Infomax hypernym Principle.
- Infomax type Agent.
- Infomax type Network.
- Infomax comment "Infomax is an optimization principle for artificial neural networks and other information processing systems. It prescribes that a function that maps a set of input values I to a set of output values O should be chosen or learned so as to maximize the average Shannon mutual information between I and O, subject to a set of specified constraints and/or noise processes. Infomax algorithms are learning algorithms that perform this optimization process.".
- Infomax label "Infomax".
- Infomax sameAs Q6030480.
- Infomax sameAs m.02pthq2.
- Infomax sameAs Q6030480.
- Infomax wasDerivedFrom Infomax?oldid=637584249.
- Infomax isPrimaryTopicOf Infomax.