{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,20]],"date-time":"2025-08-20T12:40:12Z","timestamp":1755693612969,"version":"3.28.0"},"reference-count":15,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2015,3]]},"DOI":"10.1109\/latw.2015.7102504","type":"proceedings-article","created":{"date-parts":[[2015,5,8]],"date-time":"2015-05-08T11:54:45Z","timestamp":1431086085000},"page":"1-6","source":"Crossref","is-referenced-by-count":7,"title":["Study of regression methodologies on analog circuit design"],"prefix":"10.1109","author":[{"given":"Ivick","family":"Guerra-Gomez","sequence":"first","affiliation":[]},{"given":"Trent","family":"McConaghy","sequence":"additional","affiliation":[]},{"given":"E.","family":"Tlelo-Cuautle","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref10","first-page":"775","article-title":"GPLP: A Local and Parallel Computation Toolbox for Gaussian Process Regression","volume":"13","author":"prak","year":"2012","journal-title":"Journal of Machine Learning Research"},{"key":"ref11","article-title":"Sparse Gaussian Processes using Pseudo-inputs","author":"snelson","year":"0","journal-title":"Advances in neural information processing systems"},{"journal-title":"Classification and Regression Trees","year":"1984","author":"breiman","key":"ref12"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2009.56"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4614-1770-5_13"},{"key":"ref15","doi-asserted-by":"crossref","first-page":"254","DOI":"10.1198\/TECH.2011.09154","article-title":"Regression-Based Inverse Distance Weighting With Applications to Computer Experiments","volume":"53","author":"roshan","year":"2011","journal-title":"Technometrics"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TCAD.2002.806598"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TCAD.2010.2062870"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/VLSI.Design.2009.67"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/ISQED.2013.6523643"},{"key":"ref8","first-page":"2825","article-title":"Scikit-learn: Machine Learning in Python","volume":"12","author":"pedregosa","year":"2011","journal-title":"Journal of Machine Learning Research"},{"key":"ref7","doi-asserted-by":"crossref","first-page":"516","DOI":"10.1109\/43.918210","article-title":"Learning as applied to stochastic optimization for standard-cell placement","volume":"20","author":"lixin","year":"2002","journal-title":"IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TCSI.2008.2004342"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TCAD.2012.2199115"},{"key":"ref9","first-page":"3011","article-title":"Gaussian Processes for Machine Learning (GPML) Toolbox","author":"rasmussen","year":"2010","journal-title":"Journal of Machine Learning Research"}],"event":{"name":"2015 16th Latin-American Test Symposium (LATS)","start":{"date-parts":[[2015,3,25]]},"location":"Puerto Vallarta, Mexico","end":{"date-parts":[[2015,3,27]]}},"container-title":["2015 16th Latin-American Test Symposium (LATS)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/7101754\/7102396\/07102504.pdf?arnumber=7102504","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2017,6,23]],"date-time":"2017-06-23T07:12:55Z","timestamp":1498201975000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/7102504\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015,3]]},"references-count":15,"URL":"https:\/\/doi.org\/10.1109\/latw.2015.7102504","relation":{},"subject":[],"published":{"date-parts":[[2015,3]]}}}