Results 221 to 230 of about 993,426 (339)
Variational adaptive Gaussian approximation filter for nonlinear systems with generalized unknown disturbances. [PDF]
Qin Y, Lv J, Li S, Hou Y.
europepmc +1 more source
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
Posterior estimation of longitudinal variance components from nonlongitudinal data using Bayesian Gaussian process model. [PDF]
Arjas A, Leppälä K, Sillanpää MJ.
europepmc +1 more source
Imposed quasi-normality in covariance structure analysis [PDF]
Ruud H. Koning +2 more
openalex
The polymerase chain reaction (PCR).Perturbation Theory and Machine Learning framework integrates perturbation theory and machine learning to classify genetic sequences, distinguishing ancient DNA from modern controls and predicting tree health from soil metagenomic data.
Jose L. Rodriguez +19 more
wiley +1 more source
Extended Joinpoint Regression Methodology for Complex Survey Data. [PDF]
Liu B +4 more
europepmc +1 more source
High-Dimensional Covariance Forecasting Based on Principal Component Analysis of High-Frequency Data
Zhihong Jian, pingjun deng, Zhican Zhu
openalex +1 more source
A CRDNet‐Based Watermarking Algorithm for Fused Visible–Infrared Images
CRDnet includes encoders and decoders based on residual and dense structures, a fusion network robust to 12 visible and infrared image fusion algorithms, and predictors for predicting watermarked infrared images. The encoder and decoder incorporate preprocessing steps, attention mechanisms, and activation functions suitable for infrared images.
Yu Bai +4 more
wiley +1 more source
Bayesian Clustering Factor Models. [PDF]
Shin H, Ferreira MAR, Tegge AN.
europepmc +1 more source

