Results 211 to 220 of about 16,710 (257)

Asymmetric canonical correlation analysis of Riemannian and high-dimensional data. [PDF]

Electron J Stat
Buenfil J, Lila E.
europepmc   +1 more source

Enhancing generalized spectral clustering with embedding Laplacian graph regularization

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract An enhanced generalised spectral clustering framework that addresses the limitations of existing methods by incorporating the Laplacian graph and group effect into a regularisation term is presented. By doing so, the framework significantly enhances discrimination power and proves highly effective in handling noisy data.
Hengmin Zhang, Jian Yang, Bob Zhang, Yang Tang, Wenli Du, Bihan Wen   +5 more
wiley   +1 more source

Monte Carlo approximation of the logarithm of the determinant of large matrices with applications for linear mixed models in quantitative genetics. [PDF]

Genet Sel Evol
Bermann M, Alvarez-Munera A, Legarra A, Aguilar I, Misztal I, Lourenco D.   +5 more
europepmc   +1 more source

Boosted unsupervised feature selection for tumor gene expression profiles

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract In an unsupervised scenario, it is challenging but essential to eliminate noise and redundant features for tumour gene expression profiles. However, the current unsupervised feature selection methods treat all samples equally, which tend to learn discriminative features from simple samples.
Yifan Shi, Kaixiang Yang, Mengzhi Wang, Zhiwen Yu, Huanqiang Zeng, Yang Hu   +5 more
wiley   +1 more source

Observer effect modulates classification in a quantum epistemic framework. [PDF]

Sci Rep
Hoorn JF, Ho JKW.
europepmc   +1 more source

A Quantised Push‐Sum Distributed Adaptive Momentum Algorithm for Optimisation Over Directed Networks

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT In this paper, we investigate a distributed constrained optimisation problem over directed networks. The agents in the networks conduct local computations and communications, endeavouring to collaboratively minimise the aggregation of all locally known convex cost functions subject to a global constraint set.
Qingguo Lü, Mingyu Guan, Chenglong He, Chen Chen, Xiangguang Dai, Man‐Fai Leung, Wei Zhang   +6 more
wiley   +1 more source

Matrix-Free Inexact Preconditioning Techniques for Isogeometric Tensor-Product Discretizations. [PDF]

J Sci Comput
Mika MŁ, Hiemstra RR, Schillinger D.
europepmc   +1 more source

Fault‐Tolerant Fuzzy Boundary Control for Nonlinear Distributed Parameter Systems Under Limited Measurements and Markovian Failures

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT This paper proposes a boundary control method for nonlinear distributed parameter systems (DPSs) with limited boundary measurements (BMs), as typically encountered in networked cyber‐physical processes with spatially distributed dynamics such as thermal and biomedical diffusion systems.
Yanlin Li, Kaibo Shi, Yue Yu, Xiangkun Wang, Ming Zhu, Xiao Cai   +5 more
wiley   +1 more source

Measuring Stimulus Information Transfer Between Neural Populations Through the Communication Subspace. [PDF]

Neural Comput
Weiss O, Coen-Cagli R.
europepmc   +1 more source

Follower Perceptions of Leader Narcissism: How Vulnerable and Grandiose Narcissism Dimensions Relate to Follower Work Engagement and Emotional Exhaustion

British Journal of Management, EarlyView.
Abstract Leader narcissism has been called a double‐edged sword, offering both benefits and drawbacks for followers. This study examines how follower perceptions of specific leader narcissism dimensions – grandiose (admiration, rivalry) and vulnerable (isolation, enmity) – relate to follower work engagement and emotional exhaustion.
Iris K. Gauglitz, Marco J. Held, Melissa Schütz, Astrid Schütz   +3 more
wiley   +1 more source