{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2023,2,19]],"date-time":"2023-02-19T01:28:50Z","timestamp":1676770130458},"reference-count":0,"publisher":"World Scientific Pub Co Pte Lt","issue":"supp01","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Int. J. Neur. Syst."],"published-print":{"date-parts":[[1992,1]]},"abstract":"<jats:p> The use of a constructive algorithm for pattern classification is examined. The algorithm, a \u2018Perceptron Cascade\u2019, has been shown to converge to zero errors whilst learning any consistent classification of real-valued pattern vectors (Burgess, 1992). Limiting network size and producing bounded decision regions are noted to be important for the generalization ability of a network. A scheme is suggested by which a result on generalization (Vapnik, 1992) may enable calculation of the optimal network size. A fast algorithm for principal component analysis (Sirat, 1991) is used to construct \u2018hyper-boxes\u2019 around each class of patterns to ensure bounded decision regions. Performance is compared with the Gaussian Maximum Likelihood procedure in three artificial problems simulating real pattern classification applications. <\/jats:p>","DOI":"10.1142\/s0129065792000395","type":"journal-article","created":{"date-parts":[[2004,11,23]],"date-time":"2004-11-23T22:29:42Z","timestamp":1101248982000},"page":"65-70","source":"Crossref","is-referenced-by-count":2,"title":["THE GENERALIZATION OF A CONSTRUCTIVE ALGORITHM IN PATTERN CLASSIFICATION PROBLEMS"],"prefix":"10.1142","volume":"03","author":[{"given":"Neil","family":"Burgess","sequence":"first","affiliation":[{"name":"Department of Anatomy, University College London, London WC1E 6BT, UK"}]},{"given":"Silvano","family":"Di Zenzo","sequence":"additional","affiliation":[{"name":"IBM Rome Scientific Center, Viale Oceano Pacifico 171, 00144 Rome, Italy"}]},{"given":"Paolo","family":"Ferragina","sequence":"additional","affiliation":[{"name":"IBM Rome Scientific Center, Viale Oceano Pacifico 171, 00144 Rome, Italy"}]},{"given":"Mario Notturno","family":"Granieri","sequence":"additional","affiliation":[{"name":"IBM Rome Scientific Center, Viale Oceano Pacifico 171, 00144 Rome, Italy"}]}],"member":"219","published-online":{"date-parts":[[2011,11,21]]},"container-title":["International Journal of Neural Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.worldscientific.com\/doi\/pdf\/10.1142\/S0129065792000395","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,8,7]],"date-time":"2019-08-07T12:22:12Z","timestamp":1565180532000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.worldscientific.com\/doi\/abs\/10.1142\/S0129065792000395"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[1992,1]]},"references-count":0,"journal-issue":{"issue":"supp01","published-online":{"date-parts":[[2011,11,21]]},"published-print":{"date-parts":[[1992,1]]}},"alternative-id":["10.1142\/S0129065792000395"],"URL":"https:\/\/doi.org\/10.1142\/s0129065792000395","relation":{},"ISSN":["0129-0657","1793-6462"],"issn-type":[{"value":"0129-0657","type":"print"},{"value":"1793-6462","type":"electronic"}],"subject":[],"published":{"date-parts":[[1992,1]]}}}