中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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CAS IR Grid
机构
自动化研究所 [22]
昆明植物研究所 [8]
深圳先进技术研究院 [7]
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期刊论文 [73]
学位论文 [16]
会议论文 [9]
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Data-Based Filters for Non-Gaussian Dynamic Systems With Unknown Output Noise Covariance
期刊论文
OAI收割
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 4, 页码: 866-877
作者:
Elham Javanfar
;
Mehdi Rahmani
  |  
收藏
  |  
浏览/下载:5/0
  |  
提交时间:2024/03/18
Data-based filter
maximum likelihood estimation
unknown covariance
weighted maximum likelihood estimation
weighted sum-of-norms clustering
Constrained Maximum Cross-Domain Likelihood for Domain Generalization
期刊论文
OAI收割
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2023, 页码: 15
作者:
Lin, Jianxin
;
Tang, Yongqiang
;
Wang, Junping
;
Zhang, Wensheng
  |  
收藏
  |  
浏览/下载:6/0
  |  
提交时间:2023/11/17
Optimization
Feature extraction
Metalearning
Entropy
Training
Hospitals
Task analysis
Distribution shift
domain adaptation
domain generalization
domain-invariant representation
joint distribution alignment
Newly recorded bloom-forming dinoflagellate Gymnodinium impudicum in Haizhou Bay, Yellow Sea, China
期刊论文
OAI收割
JOURNAL OF OCEANOLOGY AND LIMNOLOGY, 2022, 页码: 16
作者:
Wang, Jinxiu
;
Kong, Fanzhou
;
Wang, Yunfeng
;
Ji, Nanjing
;
Song, Minjie
  |  
收藏
  |  
浏览/下载:32/0
  |  
提交时间:2023/01/04
Gymnodinium impudicum
harmful algal bloom
Yellow Sea
Haizhou Bay
species identification
eutrophication
Differential diagnosis of non-diffuse primary thyroid lymphoma and papillary thyroid carcinoma by ultrasound combined with computed tomography
期刊论文
OAI收割
BMC CANCER, 2022, 卷号: 22
作者:
Peng, Chanjuan
;
Yi, Dan
;
Zhou, Ying
;
Yao, Jincao
;
Chen, Bo
  |  
收藏
  |  
浏览/下载:23/0
  |  
提交时间:2022/12/23
Sonography
CT
Primary thyroid lymphoma
Papillary thyroid carcinoma
First Sagittarius A* Event Horizon Telescope Results. III. Imaging of the Galactic Center Supermassive Black Hole
期刊论文
OAI收割
ASTROPHYSICAL JOURNAL LETTERS, 2022, 卷号: 930, 期号: 2
作者:
Akiyama, Kazunori
;
Alberdi, Antxon
;
Alef, Walter
;
Algaba, Juan Carlos
;
Anantua, Richard
  |  
收藏
  |  
浏览/下载:48/0
  |  
提交时间:2022/06/13
Early cephalopod evolution clarified through Bayesian phylogenetic inference
期刊论文
OAI收割
BMC BIOLOGY, 2022, 卷号: 20, 期号: 1, 页码: 30
作者:
Pohle, Alexander
;
Kroeger, Bjoern
;
Warnock, Rachel C. M.
;
King, Andy H.
;
Evans, David H.
  |  
收藏
  |  
浏览/下载:40/0
  |  
提交时间:2022/05/17
Cephalopoda
Phylogeny
Nautiloidea
Orthoceratoidea
Multiceratoidea
Endoceratoidea
Bayesian phylogenetics
Fossilized birth-death process
Posterior clade probabilities
Tree similarities
Deep Neural Network Self-Distillation Exploiting Data Representation Invariance
期刊论文
OAI收割
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 卷号: 33, 期号: 1, 页码: 257-269
作者:
Xu, Ting-Bing
;
Liu, Cheng-Lin
  |  
收藏
  |  
浏览/下载:18/0
  |  
提交时间:2022/02/16
Training
Nonlinear distortion
Data models
Neural networks
Knowledge engineering
Network architecture
Generalization error
network compression
representation invariance
self-distillation (SD)
Clustering Hidden Markov Models With Variational Bayesian Hierarchical EM
期刊论文
OAI收割
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 15
作者:
Lan, Hui
;
Liu, Ziquan
;
Hsiao, Janet H.
;
Yu, Dan
;
Chan, Antoni B.
  |  
收藏
  |  
浏览/下载:17/0
  |  
提交时间:2022/04/02
Hidden Markov models
Bayes methods
Data models
Computational modeling
Mixture models
Clustering algorithms
Analytical models
Clustering
hidden Markov mixture model (H3M)
hierarchical EM
variational Bayesian (VB)
Robust Bayesian matrix decomposition with mixture of Gaussian noise
期刊论文
OAI收割
NEUROCOMPUTING, 2021, 卷号: 449, 页码: 108-116
作者:
Wang, Haohui
;
Zhang, Chihao
;
Zhang, Shihua
  |  
收藏
  |  
浏览/下载:33/0
  |  
提交时间:2021/10/26
Bayesian method
Matrix decomposition
Maximum a posterior
Mixture of Gaussians
The Asymptotic Behavior of Bootstrap Support Values in Molecular Phylogenetics
期刊论文
OAI收割
SYSTEMATIC BIOLOGY, 2021, 卷号: 70, 期号: 4, 页码: 774-785
作者:
Huang, Jun
;
Liu, Yuting
;
Zhu, Tianqi
;
Yang, Ziheng
  |  
收藏
  |  
浏览/下载:21/0
  |  
提交时间:2021/10/26
Bootstrap
model selection
star-tree paradox
support value