Zobrazeno 1 - 10
of 60
pro vyhledávání: '"Kuang-Chih lee"'
Autor:
Kuang-Chih Lee, 李光智
103
As science and technology being progressive constantly, various customers’demands for productsare getting higher.The time to the market, cost, innovation, diversification of the products are emphasized in order to raise the competitiveness
As science and technology being progressive constantly, various customers’demands for productsare getting higher.The time to the market, cost, innovation, diversification of the products are emphasized in order to raise the competitiveness
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/55380653474932453810
Autor:
Kuang-chih Lee, 李光智
94
Study of Taiwanese “National” Curriculum in Japanese Colonial Period ABSTRACT The purpose of this study is to discuss the foundation and influence of elementary school curriculum in Japanese Colonial Period in Taiwan and to provide furthe
Study of Taiwanese “National” Curriculum in Japanese Colonial Period ABSTRACT The purpose of this study is to discuss the foundation and influence of elementary school curriculum in Japanese Colonial Period in Taiwan and to provide furthe
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/13988572488967771577
Autor:
Kuang-Chih lee, 李寬志
88
D-hydantoinase (DHT) catalyzes a reversible ring-opening hydrolysis of D, L-p-hydroxyphenyl-hydantoins (D, L-p-HPH). DHT has been used as biocatalyst for the stereospecific production of optically active non-proteinogenic amino acids, which a
D-hydantoinase (DHT) catalyzes a reversible ring-opening hydrolysis of D, L-p-hydroxyphenyl-hydantoins (D, L-p-HPH). DHT has been used as biocatalyst for the stereospecific production of optically active non-proteinogenic amino acids, which a
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/95599656689698897394
Publikováno v:
MIS Quarterly; Dec2020, Vol. 44 Issue 4, p1459-1492, 34p, 1 Chart, 1 Graph
Autor:
Abraham Bagherjeiran, Nemanja Djuric, Mihajlo Grbovic, Kuang-Chih Lee, Kun Liu, Wei Liu, Linsey Pang, Vladan Radosavljevic, Suju Rajan, Kexin Xie
Publikováno v:
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9c1b5271259feb86a19cb0a890391472
https://doi.org/10.1145/3534678.3542920
https://doi.org/10.1145/3534678.3542920
Publikováno v:
CIKM
Post-click conversion rate (CVR) estimation is a crucial task in online advertising and recommendation systems. To address the sample selection bias problem in traditional CVR models trained in click space, recent studies perform entire space multi-t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cca21b178864edfe2a0b3f40f5e45dbb
https://doi.org/10.1145/3459637.3482061
https://doi.org/10.1145/3459637.3482061
Autor:
Zhe Wang, Guorui Zhou, Ruiming Tang, Xiaoqiang Zhu, Biye Jiang, Kan Ren, Weinan Zhang, Qingyao Ai, Kuang-Chih Lee
Publikováno v:
KDD
Recently, we have witnessed that deep learning-based approaches has been widely applied to empower many internet-scale applications. However, the data in these internet-scale applications are high dimensional and extremely sparse, which makes it diff
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c5e321ea67d9afb1b6a7415be57147c8
https://doi.org/10.1145/3447548.3469444
https://doi.org/10.1145/3447548.3469444
Autor:
Abraham Bagherjeiran, Nemanja Djuric, Kuang-Chih Lee, Suju Rajan, Mihaljo Grbovic, Vladan Radosavljevic, Kun Liu
Publikováno v:
Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining.
The digital advertising field has always had challenging ML problems, learning from petabytes of data that is highly imbalanced, reactivity times in the milliseconds and more recently compounded with the complex user's path to purchase across devices
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3e798cdfb65c22bd61452d465271de48
https://doi.org/10.1145/3447548.3469486
https://doi.org/10.1145/3447548.3469486
Autor:
Kuang-Chih Lee, Hui Zhao, Xu Ma, Bo Zheng, Pengjie Wang, Wei Lin, Jian Xu, Shaoguo Liu, Chuhan Zhao
Publikováno v:
SIGIR
In real-world search, recommendation, and advertising systems, the multi-stage ranking architecture is commonly adopted. Such architecture usually consists of matching, pre-ranking, ranking, and re-ranking stages. In the pre-ranking stage, vector-pro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::425cc2f038c20c06ea8f141a618460f9
http://arxiv.org/abs/2105.07706
http://arxiv.org/abs/2105.07706
Publikováno v:
CIKM
Embedding learning for categorical features is crucial for the deep learning-based recommendation models (DLRMs). Each feature value is mapped to an embedding vector via an embedding learning process. Conventional methods configure a fixed and unifor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::04d2d170f2baaa78266d22d89830dfbf