Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Jingbin Wang"'
Publikováno v:
IEEE Access, Vol 8, Pp 207515-207523 (2020)
Temporal knowledge graph (TKG) embedding has received increasing attention in the academia. However, most existing methods are extensions of traditional translation models. Due to their intrinsic limitations, it is often difficult for such methods to
Publikováno v:
Journal of Manufacturing Systems. 50:201-211
Group maintenance for multi-level systems is necessary to ensure task success and system safety. However, many group maintenance models, which only consider the health of components without regard for reliability information at system-level, have dif
Publikováno v:
Web Information Systems and Applications ISBN: 9783030600280
WISA
WISA
IoT device is often associated with corresponding datasets, algorithms, and infrastructure. However, many potential threats exist in IoT basic infrastructure when deep learning algorithms are applied in these devices. Typically, a deep learning metho
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::72d8964ce73a15238d5141cd17a7a245
https://doi.org/10.1007/978-3-030-60029-7_50
https://doi.org/10.1007/978-3-030-60029-7_50
Publikováno v:
Neural Computing and Applications. 28:2075-2087
In this paper, we investigate the problem of optimizing complex multivariate performance measures to learn classifiers for pattern classification problems. For the first time, the multi-kernel learning is considered to construct a classifier to optim
Publikováno v:
Neural Computing and Applications. 28:135-143
Context of data points, which is usually defined as the other data points in a data set, has been found to play important roles in data representation and classification. In this paper, we study the problem of using context of a data point for its cl
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783319689340
IDEAL
IDEAL
Ranking score plays an important role in the system of content-based retrieval. Given a query, the database items are ranked according to the ranking scores in a descending order, and the top-ranked items are returned as retrieval results. In this pa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e0700e17d5568577ca99f77a25df54cf
https://doi.org/10.1007/978-3-319-68935-7_1
https://doi.org/10.1007/978-3-319-68935-7_1
Autor:
Yi Gu, Yanyan Geng, Jing-Yan Wang, Jingbin Wang, Guohui Zhang, Gaoyuan Liang, Yanbin Wu, Nitin T. Patil, Ru-Ze Liang, Weizhi Li
Publikováno v:
Artificial Neural Networks and Machine Learning – ICANN 2017 ISBN: 9783319686110
ICANN (2)
ICANN (2)
In the problems of image retrieval and annotation, complete textual tag lists of images play critical roles. However, in real-world applications, the image tags are usually incomplete, thus it is important to learn the complete tags for images. In th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::42555cd87272b918154a038f77588d99
https://doi.org/10.1007/978-3-319-68612-7_61
https://doi.org/10.1007/978-3-319-68612-7_61
Autor:
Jingbin Wang, Minru Guo
Publikováno v:
Communications in Computer and Information Science ISBN: 9789811004568
With the upcoming data deluge of semantic data, the fast growth of RDF data has brought significant challenges in query. A new distributed RDF query algorithm RQCCP (RDF data Query combined with Classes Correlations with Property) on Spark platform i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6c7a540974cebccec358c0a8d310a050
https://doi.org/10.1007/978-981-10-0457-5_11
https://doi.org/10.1007/978-981-10-0457-5_11