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Amphibians After Disease‐Induced Declines: Genetic Insights Into Population Recoveries
Molecular Ecology, Volume 35, Issue 12, June 2026.ABSTRACT Infectious diseases can cause severe population declines, reducing genetic diversity, ecological function, and prospects for long‐term survival. Such declines often result in genetic bottlenecks, with small, isolated populations that are especially vulnerable to extinction due to genetic drift and inbreeding.
M. Delia Basanta +4 more
wiley +1 more source
Dimension reduction for optimal design problems with Kronecker product structure
Scandinavian Journal of Statistics, Volume 53, Issue 2, Page 763-797, June 2026.Abstract This paper is motivated by the problem of optimal allocation of trials in multi‐environment crop variety testing with a large number of varieties. Optimizing the allocation of trials results in the minimization of a design criterion with a Kronecker product structure in the information matrix.
Taras Bodnar, Maryna Prus
wiley +1 more source
Nonnegative low rank matrix approximation for nonnegative matrices [PDF]
Applied Mathematics Letters, 2020 This paper describes a new algorithm for computing Nonnegative Low Rank Matrix (NLRM) approximation for nonnegative matrices. Our approach is completely different from classical nonnegative matrix factorization (NMF) which has been studied for more than ...
Guang-Jing Song, Michael K Ng
exaly +4 more sources
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WSNMF: Weighted Symmetric Nonnegative Matrix Factorization for attributed graph clustering
NeurocomputingKamal Berahmand +2 more
exaly +2 more sources
Graph regularized discriminative nonnegative matrix factorization
Engineering Applications of Artificial IntelligenceZhonghua Liu, Fa Zhu, Danilo Pelusi
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On the Complexity of Nonnegative Matrix Factorization [PDF]
SIAM Journal on Optimization, 2010 Version 2 corrects small typos; adds ref to Cohen & Rothblum; adds ref to Gillis; clarifies reduction of NMF to int ...
Stephen A Vavasis
exaly +4 more sources
Graph Regularized Nonnegative Matrix Factorization for Community Detection in Attributed Networks
IEEE Transactions on Network Science and Engineering, 2023Community detection has become an important research topic in machine learning due to the proliferation of network data. However, most existing methods have been developed based on only exploiting the topology structures of the network, which can result ...
K. Berahmand +4 more
semanticscholar +1 more source
A High-Order Proximity-Incorporated Nonnegative Matrix Factorization-Based Community Detector
IEEE Transactions on Emerging Topics in Computational Intelligence, 2023Community describes the functional mechanism of an undirected network, making community detection a fundamental tool for graph representation learning-related applications like social circle discovery.
Zhigang Liu, Yugen Yi, Xin Luo
semanticscholar +1 more source
IEEE Transactions on Neural Networks and Learning Systems, 2021
Community detection is a popular yet thorny issue in social network analysis. A symmetric and nonnegative matrix factorization (SNMF) model based on a nonnegative multiplicative update (NMU) scheme is frequently adopted to address it.
Xin Luo +4 more
semanticscholar +1 more source
Community detection is a popular yet thorny issue in social network analysis. A symmetric and nonnegative matrix factorization (SNMF) model based on a nonnegative multiplicative update (NMU) scheme is frequently adopted to address it.
Xin Luo +4 more
semanticscholar +1 more source