{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,5,14]],"date-time":"2025-05-14T02:28:36Z","timestamp":1747189716861,"version":"3.40.5"},"reference-count":0,"publisher":"World Scientific Pub Co Pte Ltd","issue":"02","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Int. J. Artif. Intell. Tools"],"published-print":{"date-parts":[[2021,3]]},"abstract":"<jats:p> Stochastic activation functions, where the output of an activation function is a hyper-parameter-free random function of the inputs, generalize the concept of dropout to sampling from an infinitely large space of related networks. Stochastic activation functions provide intrinsic regularization and sparsification of artificial neural networks, along with cheap and accurate estimates of the uncertainty in the predictions from a network. Examples are presented against standard benchmarking datasets. <\/jats:p>","DOI":"10.1142\/s0218213021500081","type":"journal-article","created":{"date-parts":[[2021,1,6]],"date-time":"2021-01-06T11:56:08Z","timestamp":1609934168000},"page":"2150008","source":"Crossref","is-referenced-by-count":1,"title":["Hyperparameter-free Regularization by Sampling from an Infinite Space of Neural Networks"],"prefix":"10.1142","volume":"30","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1460-8979","authenticated-orcid":false,"given":"Thomas M.","family":"Whitehead","sequence":"first","affiliation":[{"name":"Intellegens Ltd., Eagle Labs, Chesterton Road, Cambridge, CB4 3AZ, United Kingdom"}]}],"member":"219","published-online":{"date-parts":[[2021,3,26]]},"container-title":["International Journal on Artificial Intelligence Tools"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.worldscientific.com\/doi\/pdf\/10.1142\/S0218213021500081","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,3,25]],"date-time":"2021-03-25T03:58:35Z","timestamp":1616644715000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.worldscientific.com\/doi\/abs\/10.1142\/S0218213021500081"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,3]]},"references-count":0,"journal-issue":{"issue":"02","published-print":{"date-parts":[[2021,3]]}},"alternative-id":["10.1142\/S0218213021500081"],"URL":"https:\/\/doi.org\/10.1142\/s0218213021500081","relation":{},"ISSN":["0218-2130","1793-6349"],"issn-type":[{"type":"print","value":"0218-2130"},{"type":"electronic","value":"1793-6349"}],"subject":[],"published":{"date-parts":[[2021,3]]}}}