{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,27]],"date-time":"2026-09-27T11:49:10Z","timestamp":1790509750906,"version":"4.1.0"},"reference-count":46,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"5","license":[{"start":{"date-parts":[[2019,5,1]],"date-time":"2019-05-01T00:00:00Z","timestamp":1556668800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2019,5,1]],"date-time":"2019-05-01T00:00:00Z","timestamp":1556668800000},"content-version":"am","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2019,5,1]],"date-time":"2019-05-01T00:00:00Z","timestamp":1556668800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2019,5,1]],"date-time":"2019-05-01T00:00:00Z","timestamp":1556668800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/100000015","name":"U.S. Department of Energy","doi-asserted-by":"publisher","award":["DE-AC52-07NA27344"],"award-info":[{"award-number":["DE-AC52-07NA27344"]}],"id":[{"id":"10.13039\/100000015","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Neural Netw. Learning Syst."],"published-print":{"date-parts":[[2019,5]]},"DOI":"10.1109\/tnnls.2018.2869694","type":"journal-article","created":{"date-parts":[[2018,10,1]],"date-time":"2018-10-01T18:28:12Z","timestamp":1538418492000},"page":"1286-1295","source":"Crossref","is-referenced-by-count":124,"title":["Deep Neural Network Initialization With Decision Trees"],"prefix":"10.1109","volume":"30","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0055-3858","authenticated-orcid":false,"given":"Kelli D.","family":"Humbird","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"J. Luc","family":"Peterson","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ryan G.","family":"Mcclarren","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref39","first-page":"191","article-title":"PARVUS: An extendable package of programs for data exploration, classification and correlation","volume":"4","author":"forina","year":"1990","journal-title":"J Chemometrics"},{"key":"ref38","article-title":"Methods of combining multiple classifiers and their applications to handwritten digit recognition","author":"kaynak","year":"1995"},{"key":"ref33","author":"bahdanau","year":"2014","journal-title":"Neural machine translation by jointly learning to align and translate"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1063\/1.4977912"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/ISAV.2016.006"},{"key":"ref30","doi-asserted-by":"crossref","first-page":"407","DOI":"10.1214\/009053604000000067","article-title":"Least angle regression","volume":"32","author":"efron","year":"2004","journal-title":"Ann Statist"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1111\/j.1469-1809.1936.tb02137.x"},{"key":"ref36","author":"song","year":"2017","journal-title":"Attend and diagnose Clinical time series analysis using attention models"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D15-1166"},{"key":"ref34","first-page":"5998","article-title":"Attention is all you need","author":"vaswani","year":"2017","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.5194\/hess-17-2669-2013"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1117\/12.148698"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/S0950-7051(99)00009-X"},{"key":"ref12","first-page":"535","author":"thimm","year":"1995","journal-title":"Neural Network Initialization"},{"key":"ref13","author":"balestriero","year":"2017","journal-title":"Neural decision trees"},{"key":"ref14","author":"biau","year":"2016","journal-title":"Neural random forests"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1137\/1.9781611974973.1"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/0893-6080(91)90009-T"},{"key":"ref17","author":"goodfellow","year":"2016","journal-title":"Deep Learning"},{"key":"ref18","first-page":"2825","article-title":"Scikit-learn: Machine learning in Python","volume":"12","author":"pedregosa","year":"2011","journal-title":"J Mach Learn Res"},{"key":"ref19","first-page":"249","article-title":"Understanding the difficulty of training deep feedforward neural networks","author":"glorot","year":"2010","journal-title":"Proc Int Conf Artif Intell Statist"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1016\/S0167-7152(96)00140-X"},{"key":"ref4","author":"gregor","year":"2015","journal-title":"Draw A recurrent neural network for image generation"},{"key":"ref27","author":"zoph","year":"2016","journal-title":"Neural architecture search with reinforcement learning"},{"key":"ref3","author":"simonyan","year":"2014","journal-title":"Very Deep Convolutional Networks for Large-scale Image Recognition"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1038\/nature14236"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1016\/0095-0696(78)90006-2"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298958"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1023\/A:1010933404324"},{"key":"ref7","author":"gal","year":"2015","journal-title":"Dropout as a bayesian approximation Representing model uncertainty in deep learning"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/IMTC.2007.379311"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.ygeno.2012.04.003"},{"key":"ref1","author":"wu","year":"2016","journal-title":"Google’s neural machine translation system Bridging the gap between human and machine translation"},{"key":"ref46","first-page":"2951","article-title":"Practical Bayesian optimization of machine learning algorithms","author":"snoek","year":"2012","journal-title":"Proc 25th Int Conf Neural Inf Process Syst"},{"key":"ref20","author":"tang","year":"2016","journal-title":"Tf learn Tensorflow's high-level module for distributed machine learning"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2017.04.012"},{"key":"ref22","first-page":"807","article-title":"Rectified linear units improve restricted boltzmann machines","author":"nair","year":"2010","journal-title":"Proc 27th Int Conf Mach Learn (ICML)"},{"key":"ref21","author":"abadi","year":"2015","journal-title":"Tensorflow Large-scale machine learning on heterogeneous distributed systems"},{"key":"ref42","first-page":"1097","article-title":"Imagenet classification with deep convolutional neural networks","author":"krizhevsky","year":"2012","journal-title":"Proc 25th Int Conf Neural Inf Process Syst"},{"key":"ref24","author":"kingma","year":"2014","journal-title":"Adam A method for stochastic optimization"},{"key":"ref41","author":"jalali","year":"2011","journal-title":"Learning the dependence graph of time series with latent factors"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2013.6639346"},{"key":"ref44","author":"zoph","year":"2017","journal-title":"Learning Transferable Architectures for Scalable Image Recognition"},{"key":"ref26","author":"real","year":"2017","journal-title":"Large-scale evolution of image classifiers"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.222"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1007\/s10479-005-5724-z"}],"container-title":["IEEE Transactions on Neural Networks and Learning Systems"],"original-title":[],"link":[{"URL":"https:\/\/ieeexplore.ieee.org\/ielaam\/5962385\/8695188\/8478232-aam.pdf","content-type":"application\/pdf","content-version":"am","intended-application":"syndication"},{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/5962385\/8695188\/08478232.pdf?arnumber=8478232","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,7,13]],"date-time":"2022-07-13T21:11:19Z","timestamp":1657746679000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8478232\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,5]]},"references-count":46,"journal-issue":{"issue":"5"},"URL":"https:\/\/doi.org\/10.1109\/tnnls.2018.2869694","relation":{},"ISSN":["2162-237X","2162-2388"],"issn-type":[{"value":"2162-237X","type":"print"},{"value":"2162-2388","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019,5]]}}}