https://nemenmanlab.org/~ilya/index.php?action=history&feed=atom&title=Nemenman%2C_2005 2026-04-05T21:40:39Z Revision history for this page on the wiki MediaWiki 1.31.0 https://nemenmanlab.org/~ilya/index.php?title=Nemenman,_2005&diff=59&oldid=prev 2018-07-04T16:28:38Z

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Ilya https://nemenmanlab.org/~ilya/index.php?title=Nemenman,_2005&diff=58&oldid=prev 2006-11-13T02:06:04Z

<p></p> <p><b>New page</b></p><div>{{back to publ}}<br /> I Nemenman. Fluctuation-dissipation theorem and models of learning. ''Neural Comp.'', '''17'''(9):2006-2033, 2005. [[media:nemenman-05.pdf | PDF]], [http://arXiv.org/abs/q-bio/0402029 arXiv].<br /> ;Abstract: Advances in statistical learning theory leave us with many possible designs of learning machines. But which of them are implemented by brains, metabolic and genetic networks, and other biological information processors? We analyze how various abstract Bayesian learners would perform on different data, including natural ensembles, and discuss possible experiments that can determine which learning-theoretic computation is performed by a particular organism.</div>

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