Results 101 to 110 of about 248,031 (304)

Consistency and robustness of kernel based regression [PDF]

open access: yes
We investigate properties of kernel based regression (KBR) methods which are inspired by the convex risk minimization method of support vector machines.
Christmann, Andreas, Steinwart, Ingo
core  

Designable van der Waals Crystal for Artificial Neuronal Cell Mimicking

open access: yesAdvanced Materials, EarlyView.
Designable van der Waals crystal has been demonstrated for device‐scale neuronal cell mimicking. The structural similarity between ion‐channel in biological membranes and layered vdW lattices is realized with nano‐crystallization via Ar + H2S plasma sulfurization.
Jinhyoung Lee   +23 more
wiley   +1 more source

Machine Learning Accelerated Computational Design of Bio‐Inspired Catalysts in the Nitrogen Reduction Reaction

open access: yesAdvanced Materials, EarlyView.
We introduce a computational workflow that combines quantum chemical calculations and machine learning techniques to predict the catalytic performance of a wide range of catalysts in the nitrogen reduction reaction (NRR). The analysis of the trained models provides insights into the complex structure–activity relationship in experimental catalytic ...
Leonardo Di Ciano   +5 more
wiley   +1 more source

A Morphological Associative Memory Employing A Stored Pattern Independent Kernel Image and Its Hardware Model [PDF]

open access: yes, 2009
An associative memory provides a convenient way for pattern retrieval and restoration, which has an important role for handling data distorted with noise.
Harada, Hidetaka   +2 more
core  

Conductive Additives for Next‐Generation Batteries: Emphasizing the Potential of Bio‐Derived 3D Carbon Architectures at Electrode–Electrolyte Interfaces

open access: yesAdvanced Materials Interfaces, EarlyView.
3D conductive frameworks can maintain continuous electron transport, mechanical stability, and interfacial integrity, helping next‐generation batteries operate more efficiently. This Review examines their relevance to Si anodes, all‐solid‐state batteries, and dry‐processed electrodes, and highlights bio‐derived carbons as sustainable, structurally ...
SeoYoung Ha   +5 more
wiley   +1 more source

A Unified Family of Percentage-Error Support Vector Regression Models with Symmetric Kernel Extensions

open access: yesMathematics
Support vector regression (SVR) is a well-established kernel-based method for nonlinear regression. However, standard SVR formulations minimize absolute-error losses, which are not consistent with the scale-free, relative-accuracy criteria prevalent in ...
Pablo Benavides-Herrera   +3 more
doaj   +1 more source

Large‐Scale and Cost‐Effective Fabrication of Ultra‐Thin, Biodegradable Microelectrode Arrays and Pressure Sensors Using Laser Micromachining

open access: yesAdvanced Materials Technologies, EarlyView.
A mask‐free and cost‐effective UV‐pico‐second laser‐based microfabrication method is proposed to fabricate large‐area biodegradable microelectrode arrays and pressure sensors. These devices demonstrate low impedance, good conformability, excellent biocompatibility, and rapid degradation, providing a new route for next‐generation transient electronics ...
Bhavani Prasad Yalagala   +5 more
wiley   +1 more source

Making Indefinite Kernel Learning Practical [PDF]

open access: yes
In this paper we embed evolutionary computation into statistical learning theory. First, we outline the connection between large margin optimization and statistical learning and see why this paradigm is successful for many pattern recognition problems ...
Mierswa, Ingo
core  

Comportamento estocástico do algoritmo kernel least-mean-square [PDF]

open access: yes, 2012
Tese (doutorado) - Universidade Federal de Santa Catarina, Centro Tecnológico. Programa de Pós-Graduação em Engenharia Elétrica.Algoritmos baseados em kernel têm-se tornado populares no processamento não-linear de sinais.
Parreira, Wemerson Delcio
core  

Online learning with (multiple) kernels : a review [PDF]

open access: yes, 2013
This review examines kernel methods for online learning, in particular, multiclass classification. We examine margin-based approaches, stemming from Rosenblatt's original perceptron algorithm, as well as nonparametric probabilistic approaches that are ...
Diethe, Tom, Girolami, Mark
core   +1 more source

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