{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,25]],"date-time":"2025-03-25T17:56:33Z","timestamp":1742925393178,"version":"3.40.3"},"publisher-location":"Cham","reference-count":8,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319501260"},{"type":"electronic","value":"9783319501277"}],"license":[{"start":{"date-parts":[[2016,1,1]],"date-time":"2016-01-01T00:00:00Z","timestamp":1451606400000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2016]]},"DOI":"10.1007\/978-3-319-50127-7_46","type":"book-chapter","created":{"date-parts":[[2016,11,29]],"date-time":"2016-11-29T01:04:06Z","timestamp":1480381446000},"page":"535-541","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Artificial Neural Network: Deep or Broad? An Empirical Study"],"prefix":"10.1007","author":[{"given":"Nian","family":"Liu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nayyar A.","family":"Zaidi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2016,11,29]]},"reference":[{"key":"46_CR1","unstructured":"Rosenblatt, F.: The perceptron-a perceiving and recognizing automaton. Cornell Aeronautical Laboratory, Technical report 85-460-1 (1957)"},{"key":"46_CR2","doi-asserted-by":"publisher","first-page":"1527","DOI":"10.1162\/neco.2006.18.7.1527","volume":"18","author":"GE Hinton","year":"2006","unstructured":"Hinton, G.E., Osindero, S., Teh, Y.W.: A fast learning algorithm for deep belief nets. Neural Comput. 18, 1527 (2006)","journal-title":"Neural Comput."},{"key":"46_CR3","unstructured":"Zhang, X., LeCun, Y.: Text understanding from scratch. arXiv:1502.01710 (2015)"},{"key":"46_CR4","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"341","DOI":"10.1007\/978-3-319-31753-3_28","volume-title":"Advances in Knowledge Discovery and Data Mining","author":"NA Zaidi","year":"2016","unstructured":"Zaidi, N.A., Petitjean, F., Webb, G.I.: Preconditioning an artificial neural network using Naive Bayes. In: Bailey, J., Khan, L., Washio, T., Dobbie, G., Huang, J.Z., Wang, R. (eds.) PAKDD 2016. LNCS (LNAI), vol. 9651, pp. 341\u2013353. Springer, Heidelberg (2016). doi:10.1007\/978-3-319-31753-3_28"},{"key":"46_CR5","unstructured":"Frank, A., Asuncion, A.: UCI machine learning repository (2010). http:\/\/archive.ics.uci.edu\/ml"},{"key":"46_CR6","doi-asserted-by":"crossref","unstructured":"Zaidi, N.A., Carman, M.J., Cerquides, J., Webb, G.I.: Naive-Bayes inspired effective pre-conditioners for speeding-up logistic regression. In: IEEE International Conference on Data Mining, pp. 1097\u20131102 (2014)","DOI":"10.1109\/ICDM.2014.53"},{"key":"46_CR7","doi-asserted-by":"crossref","unstructured":"Zaidi, N.A., Webb, G.I., Carman, M.J., Petitjean, F., Cerquides, J.: $${\\rm ALR}^n$$: accelerated higher-order logistic regression. Mach. Learn. 104(2), 151\u2013194 (2016)","DOI":"10.1007\/s10994-016-5574-8"},{"issue":"1","key":"46_CR8","doi-asserted-by":"publisher","first-page":"87","DOI":"10.1007\/BF00994007","volume":"8","author":"UM Fayyad","year":"1992","unstructured":"Fayyad, U.M., Irani, K.B.: On the handling of continuous-valued attributes in decision tree generation. Mach. Learn. 8(1), 87\u2013102 (1992)","journal-title":"Mach. Learn."}],"container-title":["Lecture Notes in Computer Science","AI 2016: Advances in Artificial Intelligence"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-50127-7_46","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,11,6]],"date-time":"2023-11-06T19:07:01Z","timestamp":1699297621000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-319-50127-7_46"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016]]},"ISBN":["9783319501260","9783319501277"],"references-count":8,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-50127-7_46","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2016]]},"assertion":[{"value":"29 November 2016","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"AI","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Australasian Joint Conference on Artificial Intelligence","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Hobart, TAS","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Australia","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2016","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"5 December 2016","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"8 December 2016","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"29","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ausai2016","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/ai2016.net\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}