{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T01:12:24Z","timestamp":1740100344676,"version":"3.37.3"},"reference-count":18,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,10,25]],"date-time":"2021-10-25T00:00:00Z","timestamp":1635120000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,10,25]],"date-time":"2021-10-25T00:00:00Z","timestamp":1635120000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,10,25]],"date-time":"2021-10-25T00:00:00Z","timestamp":1635120000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/100014583","name":"SFI Offshore Mechatronics","doi-asserted-by":"publisher","award":["237896\/O30"],"award-info":[{"award-number":["237896\/O30"]}],"id":[{"id":"10.13039\/100014583","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,10,25]]},"DOI":"10.1109\/mlsp52302.2021.9596512","type":"proceedings-article","created":{"date-parts":[[2021,11,15]],"date-time":"2021-11-15T22:53:58Z","timestamp":1637016838000},"page":"1-6","source":"Crossref","is-referenced-by-count":6,"title":["Random Feature Approximation for Online Nonlinear Graph Topology Identification"],"prefix":"10.1109","author":[{"given":"Rohan","family":"Money","sequence":"first","affiliation":[]},{"given":"Joshin","family":"Krishnan","sequence":"additional","affiliation":[]},{"given":"Baltasar","family":"Beferull-Lozano","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref10","first-page":"1177","article-title":"Random features for large-scale kernel machines","author":"rahimi","year":"2007","journal-title":"NeurIPS"},{"key":"ref11","first-page":"1","article-title":"Large scale online kernel learning","volume":"17","author":"lu","year":"2016","journal-title":"Journal of Machine Learning Research"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1137\/1.9781611970128"},{"key":"ref13","article-title":"A generalized representer theorem","volume":"42","author":"olkopf","year":"2000","journal-title":"Computational Learning Theory"},{"key":"ref14","first-page":"773","article-title":"Random feature-based online multi-kernel learning in environments with unknown dynamics","volume":"20","author":"shen","year":"2019","journal-title":"J Mach Learn Res"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1515\/9781400881994"},{"key":"ref16","first-page":"14","article-title":"Composite objective mirror descent","author":"duchi","year":"2010","journal-title":"COLT'10"},{"key":"ref17","first-page":"283","article-title":"Bregman divergence as general framework to estimate unnormalized statistical models","author":"gutmann","year":"2011","journal-title":"Proceedings of UAI"},{"key":"ref18","first-page":"113","volume":"18","author":"puig","year":"2009","journal-title":"A multidimensional shrinkage-thresholding operator"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-27752-1"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/CAMSAP.2017.8313211"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2019.2940122"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2020.3042940"},{"key":"ref8","article-title":"On-line non-linear topology identification from graph-connected time series","author":"money","year":"2021","journal-title":"ArXiv"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/DSW.2018.8439119"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/GlobalSIP.2018.8646607"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2021.3066787"},{"key":"ref9","first-page":"4671","article-title":"Par-simonious online learning with kernels via sparse projections in function space","author":"koppel","year":"2017","journal-title":"2017 IEEE ICA SSP"}],"event":{"name":"2021 IEEE 31st International Workshop on Machine Learning for Signal Processing (MLSP)","start":{"date-parts":[[2021,10,25]]},"location":"Gold Coast, Australia","end":{"date-parts":[[2021,10,28]]}},"container-title":["2021 IEEE 31st International Workshop on Machine Learning for Signal Processing (MLSP)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9596063\/9596068\/09596512.pdf?arnumber=9596512","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T16:50:45Z","timestamp":1652201445000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9596512\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,10,25]]},"references-count":18,"URL":"https:\/\/doi.org\/10.1109\/mlsp52302.2021.9596512","relation":{},"subject":[],"published":{"date-parts":[[2021,10,25]]}}}