Results 81 to 90 of about 192,869 (306)

Adaptive estimation of covariance matrices via Cholesky decomposition

, 2010
This paper studies the estimation of a large covariance matrix. We introduce a novel procedure called ChoSelect based on the Cholesky factor of the inverse covariance.
Verzelen, Nicolas
core   +1 more source

Reliable AI Platform for Monitoring BCI Caused Brain Injury and Providing Real‐Time Protection

Advanced Science, EarlyView.
BrainGuard enables real‐time and interpretable assessment of brain injury caused by brain computer interface (BCI). Using feature‐based Gaussian process (GP) emulators trained on limited biomechanical data, it efficiently predicts full‐field strain and constructs patient‐specific digital brain twins to support clinical diagnosis and long‐term BCI ...
Chufan He, Yanjun Ding, Timon Rabczuk, Chensen Ding   +3 more
wiley   +1 more source

Estimation of Fuzzy Measures Using Covariance Matrices in Gaussian Mixtures

Applied Computational Intelligence and Soft Computing, 2012
This paper presents a novel computational approach for estimating fuzzy measures directly from Gaussian mixtures model (GMM). The mixture components of GMM provide the membership functions for the input-output fuzzy sets. By treating consequent part as a
Nishchal K. Verma
doaj   +1 more source

CellPolaris: Transfer Learning for Gene Regulatory Network Construction to Guide Cell State Transitions

Advanced Science, EarlyView.
CellPolaris decodes how transcription factors guide cell fate by building gene regulatory networks from transcriptomic data using transfer learning. It generates tissue‐ and cell‐type‐specific networks, identifies master regulators in cell state transitions, and simulates TF perturbations in developmental processes.
Guihai Feng, Xin Qin, Jiahao Zhang, Wuliang Huang, Yiyang Zhang, Wentao Cui, Yao Chen, Shirui Li, Wenhao Liu, Yao Tian, Yana Liu, Jingxi Dong, Ping Xu, Zhenpeng Man, Guole Liu, Zhongming Liang, Xinlong Jiang, Xiaodong Yang, Pengfei Wang, Ge Yang, Hongmei Wang, Xuezhi Wang, Ming‐Han Tong, Yuanchun Zhou, Shihua Zhang, Yiqiang Chen, Yong Wang, Xin Li   +27 more
wiley   +1 more source

Group Symmetry and non-Gaussian Covariance Estimation

, 2013
We consider robust covariance estimation with group symmetry constraints. Non-Gaussian covariance estimation, e.g., Tyler scatter estimator and Multivariate Generalized Gaussian distribution methods, usually involve non-convex minimization problems ...
Soloveychik, Ilya, Wiesel, Ami
core   +1 more source

Long‐Term Active Rather than Passive Restoration Promotes Soil Organic Carbon Accumulation by Alleviating Microbial Nitrogen Limitation in an Extremely Degraded Alpine Grassland

Advanced Science, EarlyView.
Active restoration increases soil organic carbon stocks by reducing microbial nitrogen limitation. Nitrogen availability promotes particulate to mineral‐associated organic carbon conversion by reducing microbial carbon use efficiency. Passive restoration has no effect on soil organic carbon stocks.
Jinchao Gong, Feida Sun, Jingjing Wu, Shijie Zhou, Yue Xiu, Linlin Li, Tahmina Kausar, Zhouwen Ma, Jiqiong Zhou, Lin Liu, Yongxing Cui, Jordi Sardans, Josep Peñuelas, Ahmed Elrys, Ji Chen, Yanfu Bai   +15 more
wiley   +1 more source

Covariance Matrix Reconstruction to Improve DoA Estimation Using Subspace Method in Low SNR Regime

IEEE Access
Traditional Direction of Arrival (DoA) estimation methods, such as Multiple Signal Classification Algorithm (MUSIC), Root MUSIC (R-MUSIC), and Estimation of Signal Parameters via Rotational Invariance Techniques (ESPRIT), often suffer significant ...
Sunita Khichar, Wiroonsak Santipach, Lunchakorn Wuttisittikulkij   +2 more
doaj   +1 more source

Meta‐GWAS of Pig Semen Quality Traits Reveals Conserved Genes Regulating Mammalian Fertility

Advanced Science, EarlyView.
This study incorporated 14 210 individuals to perform a GWAS meta‐analysis of six semen quality traits. The GWAS meta‐analysis identifies 234 GWAS loci associated with semen quality traits. The incorporation with a functional genomics resource explains potential genetic regulation of ∼40% GWAS signals underlying semen quality traits.
Qing Lin, Xiaodian Cai, Zhanming Zhong, Tingting Li, Xinyou Chen, Wondossen Ayalew, Zhiting Xu, Chen Wei, Xiaoke Zhang, Hong Cheng, Zhenyang Zhang, Xuehua Li, Yongjie Tang, Siqian Chen, Jun Zhou, Jinglei Si, Xibo Wu, Chao Ning, Qishan Wang, Yuchun Pan, Yahui Gao, Jiaqi Li, Ying Yu, Zhe Zhang, Yunxiang Zhao, Lingzhao Fang, Zhe Zhang   +26 more
wiley   +1 more source

Robust Covariance Estimators Based on Information Divergences and Riemannian Manifold

Entropy, 2018
This paper proposes a class of covariance estimators based on information divergences in heterogeneous environments. In particular, the problem of covariance estimation is reformulated on the Riemannian manifold of Hermitian positive-definite (HPD ...
Xiaoqiang Hua, Yongqiang Cheng, Hongqiang Wang, Yuliang Qin   +3 more
doaj   +1 more source

Rational maximum likelihood estimators of Kronecker covariance matrices

Algebraic Statistics
As is the case for many curved exponential families, the computation of maximum likelihood estimates in a multivariate normal model with a Kronecker covariance structure is typically carried out with an iterative algorithm, specifically, a block-coordinate ascent algorithm.
Drton, Mathias, Grosdos, Alexandros, McCormack, Andrew   +2 more
openaire   +2 more sources