Results 111 to 120 of about 248,031 (304)

From Kernel Matrices to Kernel Functions: An Eigenfunction-Based Approach

open access: yesMathematics
Kernel-combination procedures used in classification often return only a combined kernel matrix on the training sample, rather than a kernel function that can be evaluated consistently at new points. This limitation is especially important for supervised
Alberto Muñoz   +2 more
doaj   +1 more source

Flexible Chemiresistive Chitosan‐Glycerol Sensors on Laser‐Induced Graphene Electrodes for Room‐Temperature Ammonia Detection

open access: yesAdvanced Materials Technologies, EarlyView.
Flexible Chitosan‐glycerol sensor integrated with porous laser‐induced graphene (LIG) electrodes enable room‐temperature chemiresistive detection of ammonia (NH3) and proof‐of‐concept detection of fish spoilage. ABSTRACT We report a metal‐free sensor platform combining laser induced graphene (LIG) electrodes with drop‐deposited, glycerol‐plasticized ...
Mintesinot Tamiru Mengistu   +9 more
wiley   +1 more source

Nonparametric Beta kernel estimator for long memory time series [PDF]

open access: yes
The paper introduces a new nonparametric estimator of the spectral density that is given in smoothing the periodogram by the probability density of Beta random variable (Beta kernel).
VAN BELLEGEM, Sébastien   +1 more
core   +3 more sources

Quantum machine learning beyond kernel methods. [PDF]

open access: yesNat Commun, 2023
Jerbi S   +5 more
europepmc   +1 more source

Buckling‐Driven Linearity in Flexible Capacitive Pressure Sensors Based on a Three‐Dimensional Dual‐Pore Polyurethane Structure

open access: yesAdvanced Materials Technologies, EarlyView.
A flexible pressure sensor utilizing a 3D dual‐pore polyurethane structure is developed to overcome the intrinsic trade‐off between sensitivity and linearity. By inducing sequential buckling through distinct pore sizes and shapes, the device achieves highly linear and sensitive responses across a wide pressure range.
Jae Yeong Jang, Jaemin Choi, Young Jung
wiley   +1 more source

Electroencephalography-Based Pain Detection Using Kernel Spectral Connectivity Network with Preserved Spatio-Frequency Interpretability

open access: yesApplied Sciences
Chronic pain leads to not only physical discomfort but also psychological challenges, such as depression and anxiety, which contribute to a substantial healthcare burden.
Santiago Buitrago-Osorio   +4 more
doaj   +1 more source

Kernel regression on matrix patterns

open access: yesLietuvos Matematikos Rinkinys, 2008
In this paper we propose a kernel-based regression model for matrix patterns (KRMP). The training algorithm is derived. The proposed model was empirically compared with traditional models.
Povilas Daniušis, Pranas Vaitkus
doaj   +1 more source

Feature selection for kernel methods in systems biology. [PDF]

open access: yesNAR Genom Bioinform, 2022
Brouard C   +3 more
europepmc   +1 more source

Exciton Radiative Lifetimes in Hexagonal Diamond Ge and SixGe1–x Alloys

open access: yesAdvanced Optical Materials, EarlyView.
Strong room‐temperature photoluminescence reported in hexagonal Ge conflicts with theory predicting a nearly dark band edge. First‐principles calculations of excitonic radiative lifetimes fill a key gap in this debate, showing that pristine hexagonal Ge remains intrinsically weakly emissive, while Si alloying only modestly shortens the lifetime and ...
Michele Re Fiorentin   +2 more
wiley   +1 more source

Multi-Channel Features Spatio-Temporal Context Learning for Visual Tracking

open access: yesIEEE Access, 2017
Visual tracking is a challenging issue in surveillance, human-computer Interaction, and intelligent robotics, among others. Managing appearance changes of the target object, illumination changes, rotations, non-rigid deformations, partial or full ...
Xiaoqin Zhou   +4 more
doaj   +1 more source

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