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大连理工大学 [5]
兰州理工大学 [3]
北京航空航天大学 [3]
自动化研究所 [3]
武汉大学 [3]
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期刊论文 [22]
会议论文 [5]
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2019 [27]
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Physics [1]
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Bayesian dual neural networks for recommendation
期刊论文
FRONTIERS OF COMPUTER SCIENCE, 2019, 卷号: 13, 期号: 6, 页码: 1255-1265
作者:
He, Jia
;
Zhuang, Fuzhen
;
Liu, Yanchi
;
He, Qing
;
Lin, Fen
收藏
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浏览/下载:86/0
  |  
提交时间:2019/12/10
collaborative filtering
Bayesian neural network
hybrid recommendation algorithm
A Smart Forwarding Scheme for the Interest Packet in VNDN
会议论文
Chongqing, China, December 13, 2019 - December 15, 2019
作者:
Guo, Xian
;
Chen, Yuxi
;
Cao, Laichen
;
Zhang, Di
;
Jiang, Yongbo
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  |  
浏览/下载:8/0
  |  
提交时间:2020/11/15
Floods
Storms
Vehicles
Bayesian decision
Broadcast storm problem
Forwarding strategies
In-vehicle networks
Named data networks
Network condition
Network operations
Satisfaction rates
Selection of Physical and Chemical Properties of Natural Fibers for Predicting Soil Reinforcement
期刊论文
JOURNAL OF MATERIALS IN CIVIL ENGINEERING, 2019, 卷号: 31, 期号: 10, 页码: 13
作者:
Zhao, Lin-Shuang
;
Zhou, Wan-Huan
;
Su, Li-Jun
;
Garg, Ankit
;
Yuen, Ka-Veng
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  |  
浏览/下载:124/0
  |  
提交时间:2019/10/08
Natural fiber
Soil reinforcement
Bayesian nonparametric general regression
Unconfined compressive strength
Reconstructing Perceived Images From Human Brain Activities With Bayesian Deep Multiview Learning
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2019, 卷号: 30, 期号: 8, 页码: 2310-2323
作者:
Du, Changde
;
Du, Changying
;
Huang, Lijie
;
He, Huiguang
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  |  
浏览/下载:63/0
  |  
提交时间:2019/12/16
Deep neural network (DNN)
image reconstruction
multiview learning
neural decoding
variational Bayesian inference
Nutrients and metals interactions between water and sediment phases: An urban river case study
期刊论文
ENVIRONMENTAL POLLUTION, 2019, 卷号: 251, 页码: 354-362
作者:
Wijesiri, Buddhi
;
Liu, An
;
Deilami, Kaveh
;
He, Beibei
;
Hong, Nian
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  |  
浏览/下载:49/0
  |  
提交时间:2020/09/10
Metals
Nutrients
River sediments
Urban water pollution
Pollutant interactions
Driver Lane Change Intention Inference for Intelligent Vehicles: Framework, Survey, and Challenges
期刊论文
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2019, 卷号: 68, 期号: 5, 页码: 4377-4390
作者:
Xing, Yang
;
Lv, Chen
;
Wang, Huaji
;
Wang, Hong
;
Ai, Yunfeng
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  |  
浏览/下载:71/0
  |  
提交时间:2019/07/11
Intelligent vehicle
ADAS
lane change
driver intention
parallel driving
Non-gaussian batch process monitoring based on MWSVDD of similarity measure
期刊论文
Dongnan Daxue Xuebao (Ziran Kexue Ban)/Journal of Southeast University (Natural Science Edition), 2019, 卷号: 49, 期号: 2, 页码: 259-266
作者:
Zhao, Xiaoqiang
;
W., Zhou
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  |  
浏览/下载:14/0
  |  
提交时间:2020/11/14
Bayesian networks
Data description
Gaussian distribution
Gaussian noise (electronic)
Inference engines
Principal component analysis
Process control
Process monitoring
Testing
Vector spaces
Batch process
Mixture distributions
Multiphase
Similarity measure
Support vector data description
Application of Bayesian network including Microcystis morphospecies for microcystin risk assessment in three cyanobacterial bloom-plagued lakes, China
期刊论文
HARMFUL ALGAE, 2019, 卷号: 83, 期号: 1, 页码: 14-24
作者:
Shan, Kun
;
Shang, Mingsheng
;
Zhou, Botian
;
Li, Lin
;
Wang, Xiaoxiao
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浏览/下载:82/0
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提交时间:2019/07/30
Bayesian network
Cyanobacterial blooms
Microcystis
Eutrophication
Microcystin
Climate warming
Lake Taihu
Lake Chaohu
Lake Dianchi
Variational Bayesian Learning for Dirichlet Process Mixture of Inverted Dirichlet Distributions in Non-Gaussian Image Feature Modeling
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2019, 卷号: 30, 期号: 2, 页码: 449-463
作者:
Ma, Zhanyu
;
Lai, Yuping
;
Kleijn, W. Bastiaan
;
Song, Yi-Zhe
;
Wang, Liang
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  |  
浏览/下载:51/0
  |  
提交时间:2019/07/12
Bayesian estimation
computer vision
Dirichlet process (DP) mixture
inverted Dirichlet distribution
variational learning
Evaluating the Probability of Power Loss in Ship Electric Propulsion Systems Based on Bayesian Belief Networks
期刊论文
MARINE TECHNOLOGY SOCIETY JOURNAL, 2019, 卷号: 53, 期号: 3, 页码: 63-79
作者:
Zhang, Wenfen
;
Yan, Xinping
;
Zhang, Di*
;
Zhang, Jinfen
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  |  
浏览/下载:10/0
  |  
提交时间:2019/12/04
probability
evaluation
ship electric propulsion system (SEPS)
Bayesian Belief Networks (BBN)
power loss
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