Results 71 to 80 of about 4,185 (184)
Geometry and connectivity are complementary structures, which have demonstrated their ability to represent the brain's functional activity. This study evaluates geometric and connectome eigenmodes as biologically informed constraints for EEG source localization.
Pok Him Siu +6 more
wiley +1 more source
Tests for Categorical Data Beyond Pearson: A Distance Covariance and Energy Distance Approach
ABSTRACT Categorical variables are of uttermost importance in biomedical research. When two of them are considered, it is often the case that one wants to test whether or not they are statistically dependent. We show weaknesses of classical methods—such as Pearson's and the G$G$‐test—and we propose testing strategies based on distances that lack those ...
Fernando Castro‐Prado +4 more
wiley +1 more source
Efficient GMM estimation with singular system of moment conditions
Standard generalised method of moments (GMM) estimation was developed for nonsingular system of moment conditions. However, many important economic models are characterised by singular system of moment conditions.
Zhiguo Xiao
doaj +1 more source
The Moore–Penrose inverse of a partitioned nonnegative definite matrix
Consider an arbitrary symmetric nonnegative definite matrix A and its Moore–Penrose inverse A+, partitioned, respectively asA=EFF′HandA+=G1G2G2′G4.Explicit expressions for G1, G2 and G4 in terms of E, F and H are given.
Jürgen Groß, Groß, Jürgen
core +1 more source
A hybrid deep learning framework integrating convolutional–transformer networks and global gated attention is proposed for early dementia detection using multimodal MRI and speech data. Quantum marine predator optimization enhances classification performance, achieving superior accuracy and robustness compared with existing state‐of‐the‐art methods ...
R. Anandan +3 more
wiley +1 more source
Singular matrices possessing the triangle property
It is known that the inverse of an invertible real square matrix satisfying the triangle property is a tridiagonal matrix. In this note, results that may be considered as analogues of this assertion are obtained for the Moore-Penrose inverse and the ...
Priya K. Kranthi, Sivakumar K. C.
doaj +1 more source
Note on an extension of the Moore-Penrose inverse
The defining equations for the Moore-Penrose inverse of a matrix are extended to give a unique type of generalized inverse for matrices over arbitrary ...
Cline, Randall E.
core +1 more source
On the Computation of Tensor Functions under Tensor‐Tensor Multiplications with Linear Maps
ABSTRACT In this paper, we study the computation of both algebraic and non‐algebraic tensor functions under the tensor‐tensor multiplication with linear maps. In the case of algebraic tensor functions, we prove that the asymptotic exponent of both the tensor‐tensor multiplication and the tensor polynomial evaluation problem under this multiplication is
Jeong‐Hoon Ju, Susana López‐Moreno
wiley +1 more source
Global Workflow of a Comanipulation‐Based Robotic System for Cervical Spine Surgery
ABSTRACT Background Cervical arthrodesis requires precise pedicle screw placement to ensure safety and effectiveness. Traditional planning and execution are time‐consuming and prone to variability. Methods We developed a robot‐assisted system integrating three components: an AI‐based preoperative planning module, adapted from previous work, to generate
A. Koszulinski +10 more
wiley +1 more source
This paper presents a computational iterative method to find approximate inverses for the inverse of matrices. Analysis of convergence reveals that the method reaches ninth-order convergence.
F. Soleymani, M. Sharifi, S. Shateyi
doaj +1 more source

