Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Cheng-Xia Chang"'
Autor:
Cheng-Xia Chang, 常成霞
104
L1-regularized classi ers are widely used to obtain sparse models; however, thenon-di erentiability of L1-regularized form causes more challenges in optimization. In this thesis, in order to eliminate the limited use of standard unconstraine
L1-regularized classi ers are widely used to obtain sparse models; however, thenon-di erentiability of L1-regularized form causes more challenges in optimization. In this thesis, in order to eliminate the limited use of standard unconstraine
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/54869758763132704221
Autor:
Wei-Cheng Chang, Jui-Pin Wang, Felix Wu, Chun-Liang Li, Shou-De Lin, Cheng-Kuang Wei, Yu-Chuan Su, Shan-Wei Lin, Cheng-Xia Chang, Hsiao-Yu Tung, Ting-Wei Lin, Tu-Chun Yin, Cheng-Hao Tsai, Chun-Pai Yang, Wei-Sheng Chin, Yu-Chin Juan, Hsuan-Tien Lin, Yong Zhuang, Chih-Jen Lin, Tzu-Ming Kuo, Tong Yu, Young-San Lin, Kuan-Hao Huang, Yu-Chen Lu
Publikováno v:
Scopus-Elsevier
KDD Cup
KDD Cup
Track 2 in KDD Cup 2013 aims at determining duplicated authors in a data set from Microsoft Academic Search. This type of problems appears in many large-scale applications that compile information from different sources. This paper describes our solu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ddf16c91ea1ab36416003a48ee630db5
http://www.scopus.com/inward/record.url?eid=2-s2.0-84919724835&partnerID=MN8TOARS
http://www.scopus.com/inward/record.url?eid=2-s2.0-84919724835&partnerID=MN8TOARS
Autor:
Shou-De Lin, Cheng-Kuang Wei, Cheng-Xia Chang, Chun-Pai Yang, Hsiao-Yu Tung, Kuan-Hao Huang, Yong Zhuang, Yu-Chen Lu, Tzu-Ming Kuo, Shan-Wei Lin, Jui-Pin Wang, Chih-Jen Lin, Wei-Cheng Chang, Tu-Chun Yin, Felix Wu, Yu-Chin Juan, Tong Yu, Young-San Lin, Ting-Wei Lin, Yu-Chuan Su, Wei-Sheng Chin, Chun-Liang Li, Cheng-Hao Tsai, Hsuan-Tien Lin
Publikováno v:
Scopus-Elsevier
KDD Cup
KDD Cup
The track 1 problem in KDD Cup 2013 is to discriminate between papers confirmed by the given authors from the other deleted papers. This paper describes the winning solution of team National Taiwan University for track 1 of KDD Cup 2013. First, we co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::690e0a38bf5e1699ab75d5c170cf77d8
http://www.scopus.com/inward/record.url?eid=2-s2.0-84961661714&partnerID=MN8TOARS
http://www.scopus.com/inward/record.url?eid=2-s2.0-84961661714&partnerID=MN8TOARS
Autor:
Chun-Liang Li1 R01922001@NTU.EDU.TW, Yu-Chuan Su1 R01922159@NTU.EDU.TW, Ting-Wei Lin1 R01944011@NTU.EDU.TW, Cheng-Hao Tsai1 R01922025@NTU.EDU.TW, Wei-Cheng Chan1 B99902019@NTU.EDU.TW, Kuan-Hao Huang1 B99902059@NTU.EDU.TW, Tzu-Ming Kuo1 B99902073@NTU.EDU.TW, Shan-Wei Lin1 B99902023@NTU.EDU.TW, Young-San Lin1 B97902055@NTU.EDU.TW, Yu-Chen L1 B98902105@NTU.EDU.TW, Chun-Pai Yang1 B99902109@NTU.EDU.TW, Cheng-Xia Chang1 R01944041@NTU.EDU.TW, Wei-Sheng Chin1 D01944006@NTU.EDU.TW, Yu-Chin Juan1 R01922136@NTU.EDU.TW, Hsiao-Yu Tung1 B98901044@NTU.EDU.TW, Jui-Pin Wang1 R01922165@NTU.EDU.TW, Cheng-Kuang Wei1 B98901037@NTU.EDU.TW, Felix Wu1 B99902090@NTU.EDU.TW, Tu-Chun Yin1 D00922023@NTU.EDU.TW, Tong Yu1 R01922141@NTU.EDU.TW
Publikováno v:
Journal of Machine Learning Research. Dec2015, Vol. 16, p2921-2947. 27p.
Autor:
Wei-Sheng Chin1 D01944006@NTU.EDU.TW, Yong Zhuang1 R01922139@NTU.EDU.TW, Yu-Chin Juan1 R01922136@NTU.EDU.TW, Felix Wu1 B99902090@NTU.EDU.TW, Hsiao-Yu Tung1 B98901044@NTU.EDU.TW, Tong Yu1 R01922141@NTU.EDU.TW, Jui-Pin Wang1 R01922165@NTU.EDU.TW, Cheng-Xia Chang1 R01944041@NTU.EDU.TW, Chun-Pai Yang1 R99902109@NTU.EDU.TW, Wei-Cheng Chang1 B99902019@NTU.EDU.TW, Kuan-Hao Huang1 B99902059@NTU.EDU.TW, Tzu-Ming Kuo1 B99902073@NTU.EDU.TW, Shan-Wei Lin1 B99902023@NTU.EDU.TW, Young-San Lin1 B97902055@NTU.EDU.TW, Yu-Chen Lu1 B98902105@NTU.EDU.TW, Yu-Chuan Su1 R01922159@NTU.EDU.TW, Cheng-Kuang Wei1 B98901037@NTU.EDU.TW, Tu-Chun Yin1 D00922023@NTU.EDU.TW, Chun-Liang Li1 R01922001@NTU.EDU.TW, Ting-Wei Lin1 R01944011@NTU.EDU.TW
Publikováno v:
Journal of Machine Learning Research. 2014, Vol. 15, p3037-3064. 28p.