Results 121 to 130 of about 248,031 (304)
Bayesian multitrait kernel methods improve multienvironment genome-based prediction. [PDF]
G3 (Bethesda), 2022 Montesinos-López OA +14 more
europepmc +1 more source
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 +2 more
openaire +5 more sources
Advanced Optical Materials, EarlyView.A Bayesian optimization framework identifies the ideal composition for Lu2(MoO4)3:Yb–Er–Tm phosphors with minimal experimental trials. By leveraging the host's negative thermal expansion, the material achieves remarkable thermal quenching compensation.
Reiko Furukawa +7 more
wiley +1 more source
Advanced Robotics Research, EarlyView.This article introduces a soft wearable eyelid sling device incorporating a hydraulic soft artificial muscle (SAM) for achieving complete closure of an eyelid. The SAM is driven by a cam mechanism that provides a displacement profile closely matched with those of a healthy eyelid.
Patrick Pruscino +7 more
wiley +1 more source
Correction: Kernel methods and their derivatives: Concept and perspectives for the earth system sciences. [PDF]
PLoS One, 2021 Johnson JE +4 more
europepmc +1 more source
TacScope: A Miniaturized Vision‐Based Tactile Sensor for Surgical Applications
Advanced Robotics Research, EarlyView.TacScope is a compact, vision‐based tactile sensor designed for robot‐assisted surgery. By leveraging a curved elastomer surface with pressure‐sensitive particle redistribution, it captures high‐resolution 3D tactile feedback. TacScope enables accurate tumor detection and shape classification beneath soft tissue phantoms, offering a scalable, low‐cost ...
Md Rakibul Islam Prince +3 more
wiley +1 more source
Chunking-Synthetic Approaches to Large-Scale Kernel Machines [PDF]
, 2000 We consider a kernel-based approach to nonlinear classification that combines the generation of ?synthetic? points (to be used in the kernel) with ?chunking?
Gonzalez-Castano, Francisco +1 more
core +1 more source
Non-destructive acoustic screening of pineapple ripeness by unsupervised machine learning and Wavelet Kernel methods. [PDF]
Sci Prog, 2021 Chen YJ +5 more
europepmc +1 more source
Asymmetry in Skipping Enhances Viability Against Control Input Noise
Advanced Robotics Research, EarlyView.Quadruped animals use asymmetric galloping gaits at high speeds, yet the functional role of this asymmetry remains unclear. This study shows that left–right asymmetry in touchdown angles enhances robustness to control noise. Using a simple two‐legged locomotion model and viability theory, it demonstrates that asymmetric skipping substantially enlarges ...
Yuichi Ambe, Alvin So, Shinya Aoi
wiley +1 more source
Continual Learning for Multimodal Data Fusion of a Soft Gripper
Advanced Robotics Research, EarlyView.Models trained on a single data modality often struggle to generalize when exposed to a different modality. This work introduces a continual learning algorithm capable of incrementally learning different data modalities by leveraging both class‐incremental and domain‐incremental learning scenarios in an artificial environment where labeled data is ...
Nilay Kushawaha, Egidio Falotico
wiley +1 more source