{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,29]],"date-time":"2024-10-29T15:23:41Z","timestamp":1730215421374,"version":"3.28.0"},"reference-count":26,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,12,13]],"date-time":"2021-12-13T00:00:00Z","timestamp":1639353600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,12,13]],"date-time":"2021-12-13T00:00:00Z","timestamp":1639353600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,12,13]],"date-time":"2021-12-13T00:00:00Z","timestamp":1639353600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,12,13]]},"DOI":"10.1109\/dyspan53946.2021.9677290","type":"proceedings-article","created":{"date-parts":[[2022,1,20]],"date-time":"2022-01-20T20:34:33Z","timestamp":1642710873000},"page":"131-138","source":"Crossref","is-referenced-by-count":0,"title":["A Gaussian Process Based Technique of Efficient Sensor Selection for Transmitter Localization"],"prefix":"10.1109","author":[{"given":"Aritrik","family":"Ghosh","sequence":"first","affiliation":[]},{"given":"Arani","family":"Bhattacharya","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ICSPCC.2011.6061737"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/ICC.2016.7511152"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.2011.2182033"},{"key":"ref13","first-page":"4053","article-title":"Parallelizing exploration-exploitation tradeoffs in gaussian process bandit optimization","volume":"15","author":"desautels","year":"2014","journal-title":"Journal of Machine Learning Research"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2020.2978818"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2020.3008671"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/DySPAN.2018.8610459"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/JSYST.2020.2986030"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2016.2585763"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/ICC.2012.6363804"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2021.3107409"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/MCOM.2017.1700200"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-25748-4_1"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/INFOCOM41043.2020.9155230"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/INFOCOM.2017.8057113"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2020.3008671"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1145\/2994551.2994557"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TCCN.2017.2656127"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TCCN.2019.2939793"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/COMSNETS53615.2022.9668385"},{"key":"ref22","first-page":"579","article-title":"Gpps: A gaussian process positioning system for cellular networks","volume":"16","author":"schwaighofer","year":"2003","journal-title":"Advances in neural information processing systems"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/UPINLBS.2018.8559844"},{"key":"ref24","first-page":"133","article-title":"Parallelised bayesian optimisation via thompson sampling","volume":"84","author":"kandasamy","year":"2018","journal-title":"Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics ser Proceedings of Machine Learning Research"},{"key":"ref23","article-title":"Near-optimal sensor placements in gaussian processes: Theory, efficient algorithms and empirical studies","volume":"9","author":"krause","year":"2008","journal-title":"Journal of Machine Learning Research"},{"key":"ref26","first-page":"1","article-title":"Comparison of longley-rice, itm and itwom propagation models for dtv and fm broadcasting","author":"kasampalis","year":"2013","journal-title":"2013 16th International Symposium on Wireless Personal Multimedia Communications (WPMC) WPMC"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2019.2940272"}],"event":{"name":"2021 IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN)","start":{"date-parts":[[2021,12,13]]},"location":"Los Angeles, CA, USA","end":{"date-parts":[[2021,12,15]]}},"container-title":["2021 IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9677035\/9677043\/09677290.pdf?arnumber=9677290","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T16:57:47Z","timestamp":1652201867000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9677290\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,12,13]]},"references-count":26,"URL":"https:\/\/doi.org\/10.1109\/dyspan53946.2021.9677290","relation":{},"subject":[],"published":{"date-parts":[[2021,12,13]]}}}