Results 101 to 110 of about 846,629 (324)

Kernel methods in machine learning

The Annals of Statistics, 2008
We review machine learning methods employing positive definite kernels. These methods formulate learning and estimation problems in a reproducing kernel Hilbert space (RKHS) of functions defined on the data domain, expanded in terms of a kernel. Working in linear spaces of function has the benefit of facilitating the construction and analysis of ...
Hofmann, Thomas, Schölkopf, Bernhard, Smola, Alexander J.   +2 more
openaire   +5 more sources

Bioprinting Organs—Science or Fiction?—A Review From Students to Students

Advanced Healthcare Materials, EarlyView.
Bioprinting artificial organs has the potential to revolutionize the medical field. This is a comprehensive review of the bioprinting workflow delving into the latest advancements in bioinks, materials and bioprinting techniques, exploring the critical stages of tissue maturation and functionality.
Nicoletta Murenu, Camilla Mussoni, Mateo S. Andrade Mier, Paula Buettner, Nathaly Chicaiza‐Cabezas, Yi‐Yu Robin Dai, Jessica Faber, Maren Fiedler, Zan Lamberger, Xuen Jen Ng, Vanessa Moessler, Anna Rederer, Jonas Roeder, Sabrina Stecher, Katinka Theis, Jeanette Weigelt, Silvia Budday, Gregor Lang, Natascha Schaefer   +18 more
wiley   +1 more source

In Vivo Skin 3‐D Surface Reconstruction and Wrinkle Depth Estimation Using Handheld High Resolution Tactile Sensing

Advanced Healthcare Materials, EarlyView.
A compact handheld GelSight probe reconstructs in vivo 3‐D skin topography with micron‐level precision using a custom elastic gel and a learning‐based surface normal to height map pipeline. The device quantifies wrinkle depth across various body locations and detects changes in wrinkle depth following moisturizer application.
Akhil Padmanabha, Arpit Agarwal, Catherine Li, Austin Williams, Dinesh K. Patel, Sankalp Chopkar, Achu Wilson, Ahmet Ozkan, Wenzhen Yuan, Sonal Choudhary, Arash Mostaghimi, Zackory Erickson, Carmel Majidi   +12 more
wiley   +1 more source

Adaptive kernel methods

IFAC Proceedings Volumes, 2003
Abstract This paper discusses the Least Squares Support Vector Machine and implementing adaptive on-line algorithms based on recursive least squares algorithms. The algorithms are of moderate complexity and can implement nonlinear decision regions which make it suitable for many applications in communication and signal processing.
openaire   +1 more source

Ti6Al4V‐Bioglass‐Copper Composites for Load‐Bearing Implants

Advanced Healthcare Materials, EarlyView.
We have designed and manufactured a novel Ti64‐based composite by adding 45S5 bioglass (BG) and copper (Cu). Adding BG on titanium improves wear resistance and biocompatibility, whereas Cu addition improves mechanical strength while providing inherent lifelong bacterial resistance.
Lochan Upadhayay, Bryson White, Susmita Bose, Amit Bandyopadhyay   +3 more
wiley   +1 more source

Artificial Intelligence‐Assisted Workflow for Transmission Electron Microscopy: From Data Analysis Automation to Materials Knowledge Unveiling

Advanced Materials, EarlyView.
AI‐Assisted Workflow for (Scanning) Transmission Electron Microscopy: From Data Analysis Automation to Materials Knowledge Unveiling. Abstract (Scanning) transmission electron microscopy ((S)TEM) has significantly advanced materials science but faces challenges in correlating precise atomic structure information with the functional properties of ...
Marc Botifoll, Ivan Pinto‐Huguet, Enzo Rotunno, Thomas Galvani, Catalina Coll, Payam Habibzadeh Kavkani, Maria Chiara Spadaro, Yann‐Michel Niquet, Martin Børstad Eriksen, Sara Martí‐Sánchez, Georgios Katsaros, Giordano Scappucci, Peter Krogstrup, Giovanni Isella, Andreu Cabot, Gonzalo Merino, Pablo Ordejón, Stephan Roche, Vincenzo Grillo, Jordi Arbiol   +19 more
wiley   +1 more source

Leveraging Random Effects in Cistrome‐Wide Association Studies for Decoding the Genetic Determinants of Prostate Cancer

Advanced Science
Cistrome‐wide association studies (CWAS) are pivotal for identifying genetic determinants of diseases by correlating genetically regulated cistrome states with phenotypes. Traditional CWAS typically develops a model based on cistrome and genotype data to
Mengting Shao, Min Tian, Kaiyang Chen, Hangjin Jiang, Shuting Zhang, Zhenghui Li, Yan Shen, Feng Chen, Baixin Shen, Chen Cao, Ning Gu   +10 more
doaj   +1 more source

Regularization method for complete singular integral equation with Hilbert kernel on open arcs [PDF]

, 2013
Lixia Cao
openalex   +1 more source

Optimization and evaluation of a hydration method for producing high quality oil and defatted meal from hemp seed kernels

, 2023
S. Wang, Wenbiao Wu
openalex   +2 more sources

A Novel Method for Objective Selection of Information Sources Using Multi-Kernel SVM and Local Scaling [PDF]

, 2020
Henry Jhoán Areiza-Laverde, Andrés Eduardo Castro-Ospina, María Liliana Hernández, Gloria M. Díaz   +3 more
openalex   +1 more source