Results 21 to 30 of about 925,484 (287)
Clustering of gamma-ray bursts through kernel principal component analysis [PDF]
Communications in Statistics - Simulation and Computation, 2017 We consider the problem related to clustering of gamma-ray bursts (from "BATSE" catalogue) through kernel principal component analysis in which our proposed kernel outperforms results of other competent kernels in terms of clustering accuracy and we obtain three physically interpretable groups of gamma-ray bursts.
Soumita Modak +2 more
openaire +3 more sources
Late combination shows that MEG adds to MRI in classifying MCI versus controls
NeuroImage, 2022 Early detection of Alzheimer's disease (AD) is essential for developing effective treatments. Neuroimaging techniques like Magnetic Resonance Imaging (MRI) have the potential to detect brain changes before symptoms emerge.
Delshad Vaghari +2 more
doaj +1 more source
Small-Sample Comparison of the Gamma Kernel and the Orthogonal Series Methods of Density Estimation
پژوهشهای ریاضی, 2020 Introduction Estimation of a probability density function is an important area of nonparametric statistical inference that has received much attention in recent decades.
Muhyiddin Izadi, Abdollah Jalilian
doaj
A survey of kernel and spectral methods for clustering [PDF]
, 2007 Clustering algorithms are a useful tool to explore data structures and have been employed in many disciplines. The focus of this paper is the partitioning clustering problem with a special interest in two recent approaches: kernel and spectral methods ...
Masulli, F. +11 more
core +1 more source
Weak and Strong Gamma Distributed Delays in a Patch-Enabled SLBP Computer-Virus Model
MathematicsA patch-enabled delayed SLBP computer-virus model is extended by replacing the fixed delay in the breaking-out class with a distributed memory. Two gamma kernels are considered: the weak (single-stage) kernel, which encodes an exponentially fading memory,
Carlo Bianca +2 more
doaj +1 more source
Natural Frequencies of Levodopa‐Induced Dyskinesia in Parkinson's Disease
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objectives Abnormal involuntary movements, known as dyskinesias, are common complications of levodopa treatment in patients with Parkinson's disease and can significantly impair quality of life. The underlying pathophysiology remains unclear, and current therapeutic options are limited.
Ioannis U. Isaias +3 more
wiley +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Progression independent of relapse activity is a major determinant of long‐term disability in multiple sclerosis, but its immunopathologic basis remains incompletely understood. We investigated whether relapse‐independent progression in radiologically stable relapsing–remitting multiple sclerosis is associated with distinct ...
Antonio Bruno +19 more
wiley +1 more source
Nondegeneracy of positive solutions to nonlinear Hardy–Sobolev equations
Advances in Nonlinear Analysis, 2017 In this note, we prove that the kernel of the linearized equation around a positive energy solution in ℝn${\mathbb{R}^{n}}$, n≥3${n\geq 3}$, to the problem -ΔW-γ|x|-2V=|x|-sW2⋆(s)-1$-\Delta W-\gamma|x|^{-2}V=|x|^{-s}W^{2^{\star}(s)-1}$ is one ...
Robert Frédéric
doaj +1 more source
dynoGP: Deep Gaussian Processes for Dynamic System Identification
International Journal of Adaptive Control and Signal Processing, EarlyView.This work introduces a novel class of deep models for system identification, dynamical deep Gaussian processes, which combine the strengths of data‐driven methods, such as those based on neural network architectures, with the ability to output a probability distribution for uncertainty representation.
Alessio Benavoli +2 more
wiley +1 more source
A hierarchy of Palm measures for determinantal point processes with gamma kernels
Studia Mathematica, 2022 Version 2: minor changes, typos ...
Bufetov, Alexander I. +1 more
openaire +2 more sources