Results 211 to 220 of about 4,500,411 (350)

Individuals redistribution based on differential evolution for covariance matrix adaptation evolution strategy. [PDF]

Sci Rep, 2022
Chen Z, Liu Y.
europepmc   +1 more source

Rank Covariance Matrix For A Partially Known Covariance Matrix Rank Covariance Matrix For A Partially Known Covariance Matrix

, 2020
Classical multivariate methods are often based on the sample covariance matrix, which is very sensitive to outlying observations. One alternative to the covariance matrix is the ane equivariant rank covariance matrix (RCM) that has been studied for ...
Dietrich Von Rosen, Kristi Kuljus
core  

A Critical Assessment of Bonding Descriptors for Predicting Materials Properties

Advanced Intelligent Discovery, EarlyView.
The impact of new bonding descriptors in machine learning models for predicting material properties is assessed. Improvements are validated using significance tests, and new, intuitive descriptors for screening lattice thermal conductivity and projected force constants are introduced.
Aakash Ashok Naik, Nidal Dhamrait, Katharina Ueltzen, Christina Ertural, Philipp Benner, Gian‐Marco Rignanese, Janine George   +6 more
wiley   +1 more source

Intradialytic hypotension prediction using covariance matrix-driven whale optimizer with orthogonal structure-assisted extreme learning machine. [PDF]

Front Neuroinform, 2022
Li Y, Zhao D, Liu G, Liu Y, Bano Y, Ibrohimov A, Chen H, Wu C, Chen X.   +8 more
europepmc   +1 more source

A Comprehensive Comparative Study of Active Learning Schemes for Nanophotonics Design

Advanced Intelligent Discovery, EarlyView.
Active learning (AL) strategies are benchmarked for the binary design of planar multilayer nanophotonic structures. Factorization machines combined with quantum annealing (QA) become effective as dimensionality increases. Hybrid QA provides the strongest results for 100‐layer problems, highlighting the importance of optimization method selection in ...
Serang Jung, Seongmin Kim, Jaehyun Park, Chaeyoung Park, Zhihao Xu, Sanghyo Hwang, Baiqing Ye, Youn sang Kim, Sun‐Kyung Kim, Tengfei Luo, Eungkyu Lee   +10 more
wiley   +1 more source

A Cascaded Neural Network for Robust Phase-Only Beamforming Under Covariance Matrix Mismatch. [PDF]

Sensors (Basel)
Zhao Z, Yu Z, Li Y, Yang Y, Wang Z, Liu Q.   +5 more
europepmc   +1 more source

An Eigenvalues-Based Covariance Matrix Bootstrap Model Integrated With Support Vector Machines for Multichannel EEG Signals Analysis. [PDF]

Front Neuroinform, 2021
Al-Hadeethi H, Abdulla S, Diykh M, Deo RC, Green JH.   +4 more
europepmc   +1 more source

Interactive Prompt‐Guided Robotic Grasping for Arbitrary Objects Based on Promptable Segment Anything Model and Force‐Closure Analysis

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
A laser pointer‐guided robotic grasping method for arbitrary objects based on promptable segment anything model and force‐closure analysis is presented. Grasp generation methods based on force‐closure analysis can calculate the optimal grasps for objects through their appearances. However, the limited visual perception ability makes robots difficult to
Yan Liu, Yaxin Liu, Ruiqing Han, Kai Zheng, Yufeng Yao, Ming Zhong   +5 more
wiley   +1 more source

Gridless DOA Estimator for 1.5-Bit Sparse Massive MIMO Systems Based on Covariance Matrix Estimation. [PDF]

Entropy (Basel)
Peng Y, Zheng X, Cheng Z.
europepmc   +1 more source

An Enhanced Smoothed L₀-Norm Direction of Arrival Estimation Method Using Covariance Matrix. [PDF]

Sensors (Basel), 2021
Paik JW, Lee JH, Hong W.
europepmc   +1 more source