Results 41 to 50 of about 248,031 (304)

A Data-Driven Measure of Effective Connectivity Based on Renyi's α-Entropy

Frontiers in Neuroscience, 2019
Transfer entropy (TE) is a model-free effective connectivity measure based on information theory. It has been increasingly used in neuroscience because of its ability to detect unknown non-linear interactions, which makes it well suited for exploratory ...
Ivan De La Pava Panche, Andres M. Alvarez-Meza, Alvaro Orozco-Gutierrez   +2 more
doaj   +1 more source

A feasible k-means kernel trick under non-Euclidean feature space

International Journal of Applied Mathematics and Computer Science, 2020
This paper poses the question of whether or not the usage of the kernel trick is justified. We investigate it for the special case of its usage in the kernel k-means algorithm.
Kłopotek Robert, Kłopotek Mieczysław, Wierzchoń Sławomir   +2 more
doaj   +1 more source

UiO‐66 metal–organic frameworks in biomedicine: From structural tunability to bioimaging, photodiagnostics, and photodynamic cancer therapy

FEBS Open Bio, EarlyView.
UiO‐66(Zr) metal–organic frameworks are chemically stable, biocompatible, and highly tunable nanomaterials. Their modular structure enables controlled drug delivery, multimodal bioimaging, and light‐activated photodynamic therapy, supporting integrated diagnostic and therapeutic (theranostic) applications in cancer and biomedical research.
Veronika Huntošová, Grigorii Rakhalskii, Miroslav Almáši   +2 more
wiley   +1 more source

Kernel methods for fmri pattern prediction [PDF]

, 2008
In this paper, we present an effective computational approach for learning patterns of brain activity from the fMRI data. The procedure involved correcting motion artifacts, spatial smoothing, removing low frequency drifts and applying multivariate ...
Saunders, Craig, Ni, Yizhao, Chu, Carlton, John Ashburner, Carlton Chu, Craig J. Saunders, Ashburner, John, Yizhao Ni   +7 more
core   +1 more source

Adaptive Software-Defined Network Control Using Kernel-Based Reinforcement Learning: An Empirical Study

Applied Sciences
Software-defined networking (SDN) requires adaptive control strategies to handle dynamic traffic conditions and heterogeneous network environments.
Yedil Nurakhov, Abzal Kyzyrkanov, Zhenis Otarbay, Danil Lebedev   +3 more
doaj   +1 more source

Fluid Biomarkers of Disease Burden and Cognitive Dysfunction in Progressive Supranuclear Palsy

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Identifying objective biomarkers for progressive supranuclear palsy (PSP) is crucial to improving diagnosis and establishing clinical trial and treatment endpoints. This study evaluated fluid biomarkers in PSP versus controls and their associations with regional 18F‐PI‐2620 tau‐PET, clinical, and cognitive outcomes.
Roxane Dilcher, Charles B. Malpas, Stuart J. McDonald, William T. O’Brien, Craig Despott, Kelly L. Bertram, Matthew P. Pase, Lukas Frontzkowski, Meng Law, Terence J. O’Brien, Lucy Vivash   +10 more
wiley   +1 more source

Adaptive Kernel Methods

CoRR
Kernel methods approximate nonlinear maps in a data-driven manner by projecting the target map onto a finite-dimensional Hilbert space called the solution space. Traditionally, this space is a subspace of a fixed ambient reproducing kernel Hilbert space (RKHS), determined solely by the chosen kernel and the dataset, whose elements identify the basis ...
Tamás Dózsa, Andrea Angino, Zoltán Szabó 0002, József Bokor, Matthias Voigt   +4 more
openaire   +2 more sources

Relationship Between Neurologic Symptoms and Signs and FMR1 Genotype in Premutation Carriers

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background and Objectives Fragile X‐associated Tremor/Ataxia Syndrome (FXTAS) is the most severe late‐onset condition caused by a premutation in the FMR1 gene, characterized by expanded CGG triplet repeats of 55–200. Clinical presentations of FXTAS, including gait ataxia, kinetic tremor, cognitive decline, and rare Parkinsonism, are linked to ...
Flora Tassone, Freddy Chafota, Miguel E. Rentería, Randi J. Hagerman, Ellery Santos, Anna Atkinson, Nicholas G. Martin, Elsdon Storey, Danuta Z. Loesch   +8 more
wiley   +1 more source

Parsimonious Kernel Fisher Discrimination [PDF]

, 2007
By applying recent results in optimization transfer, a new algorithm for kernel Fisher Discriminant Analysis is provided that makes use of a non-smooth penalty on the coefficients to provide a parsimonious solution.
Harrison, Robert F., Willett, Peter, Robert F. Harrison, Pasupa, Kitsuchart, Kitsuchart Pasupa, Peter Willett   +5 more
core   +1 more source

Learning latent functions for causal discovery

Machine Learning: Science and Technology, 2023
Causal discovery from observational data offers unique opportunities in many scientific disciplines: reconstructing causal drivers, testing causal hypotheses, and comparing and evaluating models for optimizing targeted interventions.
Emiliano Díaz, Gherardo Varando, J Emmanuel Johnson, Gustau Camps-Valls   +3 more
doaj   +1 more source