Results 111 to 120 of about 6,829 (292)
Operator monotone functions, positive definite kernels and majorization [PDF]
Mitsuru Uchiyama
openalex +1 more source
Quadrotor unmanned aerial vehicle control is critical to maintain flight safety and efficiency, especially when facing external disturbances and model uncertainties. This article presents a robust reinforcement learning control scheme to deal with these challenges.
Yu Cai +3 more
wiley +1 more source
On Symmetric Positive Definite Preconditioners for Multiple Saddle-Point Systems
John W. Pearson, Andreas Potschka
openalex +2 more sources
Riemannian Geometry for the Classification of Brain States with Intracortical Brain Recordings
Geometric machine learning is applied to decode brain states from invasive intracortical neural recordings, extending Riemannian methods to the invasive regime where data is scarcer and less stationary. A Minimum Distance to Mean classifier on covariance manifolds uses geodesic distances to outperform convolutional neural networks while reducing ...
Arnau Marin‐Llobet +9 more
wiley +1 more source
Abstract Background A methodology to assess the immune microenvironment (IME) of non‐small cell lung cancer (NSCLC) has not been established, and the prognostic impact of IME factors is not yet clear. Aims This study aimed to assess the IME factors and evaluate their prognostic values. Methods and Results We assessed CD8+ tumor‐infiltrating lymphocyte (
Yukihiro Terada +16 more
wiley +1 more source
Positive Definiteness via Off-Diagonal Scaling of a Symmetric Indefinite Matrix. [PDF]
Bentler PM, Yuan KH.
europepmc +1 more source
Vulnerability in processing definiteness: The case of heritage Turkish. [PDF]
Uygun S.
europepmc +1 more source
A finiteness theorem for positive definite strictly n-regular quadratic forms [PDF]
Wai Kiu Chan, Alicia Marino
openalex +1 more source
Positive Definite Functions on Spheres
Not ...
openaire +3 more sources
Elastic Fast Marching Learning from Demonstration
This article presents Elastic Fast Marching Learning (EFML), a novel approach for learning from demonstration that combines velocity‐based planning with elastic optimization. EFML enables smooth, precise, and adaptable robot trajectories in both position and orientation spaces.
Adrian Prados +3 more
wiley +1 more source

