Zobrazeno 1 - 10
of 42
pro vyhledávání: '"Dijun Luo"'
Autor:
Xinru Chen, Wei Zhang, Dijun Luo, Lu Wang, Weinan Zhang, Lei Han, Junzhou Huang, Chengchang Li, Xiaofeng He
Publikováno v:
IEEE Transactions on Neural Networks and Learning Systems. 33:5361-5373
In this article, we study the problem of guaranteed display ads (GDAs) allocation, which requires proactively allocate display ads to different impressions to fulfill their impression demands indicated in the contracts. Existing methods for this prob
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ba4727d497a90ea54b7049d9602ec499
https://doi.org/10.1109/tnnls.2021.3070484
https://doi.org/10.1109/tnnls.2021.3070484
Publikováno v:
IEEE transactions on pattern analysis and machine intelligence. 44(11)
In recent years, reinforcement learning has achieved excellent results in low-dimensional static action spaces such as games and simple robotics. However, the action space is usually composite, composed of multiple sub-action with different functions
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::69d2a4d76d0ee663ba825e54972a07de
https://pubmed.ncbi.nlm.nih.gov/34347595
https://pubmed.ncbi.nlm.nih.gov/34347595
Autor:
Xiaoyu Cao, Lanqing Li, Yao Yao, Dijun Luo, Zhong Zhang, Xiaoyan Cao, Shihui Guo, Wanpeng Zhang, Li Xiao, Zhicheng An
Agriculture is the foundation of human civilization. However, the rapid increase and aging of the global population pose challenges on this cornerstone by demanding more healthy and fresh food. Internet of Things (IoT) technology makes modern autonom
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::eced1a6966ac4d849dea5c468f0b8b33
https://doi.org/10.21203/rs.3.rs-687625/v1
https://doi.org/10.21203/rs.3.rs-687625/v1
Publikováno v:
2021 IEEE 10th Data Driven Control and Learning Systems Conference (DDCLS).
Iterative learning control (ILC) is an advanced control method which has been studied and widely used in periodical, repetitive or batch processes. However, there is still a lack of an effective method for the design of nonlinear iterative learning c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2b22a9d80383ed577d4fe50bd9acb5d4
https://doi.org/10.1109/ddcls52934.2021.9455494
https://doi.org/10.1109/ddcls52934.2021.9455494
Publikováno v:
ICRA
Model-based deep reinforcement learning has achieved success in various domains that require high sample efficiencies, such as Go and robotics. However, there are some remaining issues, such as planning efficient explorations to learn more accurate d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::93f02283a03240d34f6fb44fbf07cfd2
Publikováno v:
ICKG
Worldwide, the area of greenhouse production is increasing with the rapid growth of global population and demands for fresh food. However, the greenhouse industry encounters challenges to find automatic control policy. Reinforcement Learning (RL) is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c195c0aed5d21b39fa37157aeef83267
https://doi.org/10.1109/icbk50248.2020.00073
https://doi.org/10.1109/icbk50248.2020.00073
Publikováno v:
ACM Transactions on Sensor Networks. 11:1-24
In wireless sensor networks, the spanning tree is usually used as a routing structure to collect data. In some situations, nodes do in-network aggregation to reduce transmissions, save energy, and maximize network lifetime. Because of the restricted
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::418ba73734518ddc717bba630a780ec7
https://doi.org/10.1145/2629662
https://doi.org/10.1145/2629662
New Probabilistic Multi-graph Decomposition Model to Identify Consistent Human Brain Network Modules
Publikováno v:
ICDM
Many recent scientific efforts have been devoted to constructing the human connectome using Diffusion Tensor Imaging (DTI) data for understanding large-scale brain networks that underlie higher-level cognition in human. However, suitable network anal
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::136c3ab76e8e907ddc6251696bab4500
https://doi.org/10.1109/icdm.2016.0041
https://doi.org/10.1109/icdm.2016.0041
Publikováno v:
Knowledge and Information Systems. 36:411-438
As powerful tools, machine learning and data mining techniques have been widely applied in various areas. However, in many real-world applications, besides establishing accurate black box predictors, we are also interested in white box mechanisms, su
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::78a94b9cac8f6f943fe2e3d0dd2d0835
https://doi.org/10.1007/s10115-012-0545-2
https://doi.org/10.1007/s10115-012-0545-2
Autor:
Limei Hu, Dijun Luo, Wei Zhang, Kanishka Sircar, Fred Saad, Ismaël Hervé Koumakpayi, Ana Aparicio, Vassiliki Tzelepi, Eleni Efstathiou, David Cogdell, Nora M. Navone, Heng Huang, Patricia Troncoso, Jasreman Dhillon, Tarek A. Bismar
Publikováno v:
The American Journal of Pathology. 180:895-903
The identification of new and effective therapeutic targets for the lethal, castration-resistant stage of prostate cancer (CRPC) has been challenging because of both the paucity of adequate frozen tissues and a lack of integrated molecular analysis.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::009144ac8d672e7a6895e7065216ecda
https://doi.org/10.1016/j.ajpath.2011.11.030
https://doi.org/10.1016/j.ajpath.2011.11.030