Trust region Newton method for large-scale logistic regression. | 學術產出

題名	Trust region Newton method for large-scale logistic regression.
作者	Lin, Chih-Jen;Weng, Ruby C.;Keerthi, S. Sathiya 翁久幸 Weng, Ruby C.
貢獻者	應數系
日期	2007
上傳時間	28-九月-2018 16:30:04 (UTC+8)
摘要	Large-scale logistic regression arises in many applications such as document classification and natural language processing. In this paper, we apply a trust region Newton method to maximize the log-likelihood of the logistic regression model. The proposed method uses only approximate Newton steps in the beginning, but achieves fast convergence in the end. Experiments show that it is faster than the commonly used quasi Newton approach for logistic regression. We also compare it with linear SVM implementations.
關聯	Journal of Machine Learning Research , 9, 627-650 AMS MathSciNet:MR2417250
資料類型	article
DOI	http://dx.doi.org/10.1145/1273496.1273567

dc.contributor	應數系
dc.creator (作者)	Lin, Chih-Jen;Weng, Ruby C.;Keerthi, S. Sathiya	en_US
dc.creator (作者)	翁久幸	zh_TW
dc.creator (作者)	Weng, Ruby C.	en_US
dc.date (日期)	2007
dc.date.accessioned	28-九月-2018 16:30:04 (UTC+8)	-
dc.date.available	28-九月-2018 16:30:04 (UTC+8)	-
dc.date.issued (上傳時間)	28-九月-2018 16:30:04 (UTC+8)	-
dc.identifier.uri (URI)	http://nccur.lib.nccu.edu.tw/handle/140.119/120196	-
dc.description.abstract (摘要)	Large-scale logistic regression arises in many applications such as document classification and natural language processing. In this paper, we apply a trust region Newton method to maximize the log-likelihood of the logistic regression model. The proposed method uses only approximate Newton steps in the beginning, but achieves fast convergence in the end. Experiments show that it is faster than the commonly used quasi Newton approach for logistic regression. We also compare it with linear SVM implementations.	en_US
dc.format.extent	250756 bytes	-
dc.format.mimetype	application/pdf	-
dc.relation (關聯)	Journal of Machine Learning Research , 9, 627-650
dc.relation (關聯)	AMS MathSciNet:MR2417250
dc.title (題名)	Trust region Newton method for large-scale logistic regression.	en_US
dc.type (資料類型)	article
dc.identifier.doi (DOI)	10.1145/1273496.1273567
dc.doi.uri (DOI)	http://dx.doi.org/10.1145/1273496.1273567