Results 71 to 80 of about 137,800 (236)
Advanced Science, EarlyView.This research introduces an augmented matrix‐based DNA molecular neural network to achieve molecular‐level solving of biological Brusselator PDEs. Crucial innovations include: (i) an augmented matrix‐based DNA molecular neural network, enabling multidimensional parameter integration through DNA strand displacement cascades and iterative weight ...
Yijun Xiao +5 more
wiley +1 more source
Complexity, 2018 Single-microphone speech enhancement algorithms by using nonnegative matrix factorization can only utilize the temporal and spectral diversity of the received signal, making the performance of the noise suppression degrade rapidly in a complex ...
Dong-xia Wang +4 more
doaj +1 more source
Advanced Intelligent Discovery, EarlyView.Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley +1 more source
Big Data Mining and AnalyticsNonnegative Matrix Factorization (NMF) is one of the most popular feature learning technologies in the field of machine learning and pattern recognition. It has been widely used and studied in the multi-view clustering tasks because of its effectiveness.
Guosheng Cui +3 more
doaj +1 more source
Fuzzy Approximate Solution of Positive Fully Fuzzy Linear Matrix Equations
Journal of Applied Mathematics, 2013 The fuzzy matrix equations A~⊗X~⊗B~=C~ in which A~, B~, and C~ are m×m, n×n, and m×n nonnegative LR fuzzy numbers matrices, respectively, are investigated.
Xiaobin Guo, Dequan Shang
doaj +1 more source
Core-EP Monotonicity Characterizations for Property-n Matrices
Mathematics, 2023 A square matrix is said to have property n if there exists a positive integer w such that Aw is nonnegative. In this paper, we study the core-EP monotonicity for property-n matrices.
Jin Zhong, Lin Lin
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Advanced Intelligent Systems, EarlyView.A compressed sensing (CS)‐based feature selection method is proposed to select the most informative elements in the radiomic features extracted from medical images of personalized ultra‐fractionated stereotactic adaptive treatment. The CS‐based approach is able to simplify the feature selection process and enhance the accuracy and robustness of a ...
Yajun Yu +3 more
wiley +1 more source
Journal of Applied Polymer Science, EarlyView.This study presents a classification model for nanoscale polymer characterization using low‐loss spectral data from scanning transmission electron microscopy and electron energy‐loss spectroscopy. Key spectral features are extracted via mixed Gaussian model fitting with theexpectation‐maximization algorithm, enabling successful clustering of seven ...
Hiroki Umemoto +2 more
wiley +1 more source
Optimization of identifiability for efficient community detection
New Journal of Physics, 2020 Many physical and social systems are best described by networks. And the structural properties of these networks often critically determine the properties and function of the resulting mathematical models.
Hui-Jia Li +3 more
doaj +1 more source
Coseparable Nonnegative Matrix Factorization
SIAM Journal on Matrix Analysis and Applications, 2023 Nonnegative matrix factorization (NMF) is a popular model in the field of pattern recognition. It aims to find a low rank approximation for nonnegative data M by a product of two nonnegative matrices W and H. In general, NMF is NP-hard to solve while it can be solved efficiently under separability assumption, which requires the columns of factor matrix
Junjun Pan, Michael K. Ng
openaire +2 more sources