Results 51 to 60 of about 14,159 (246)
Convex Total Least Squares [PDF]
, 2014 We study the total least squares (TLS) problem that generalizes least squares regression by allowing measurement errors in both dependent and independent variables. TLS is widely used in applied fields including computer vision, system identification and
Malioutov, Dmitry M., Slavov, Nikolai
core +1 more source
Modeling and Estimation for Real-Time Microarrays [PDF]
, 2008 Microarrays are used for collecting information about a large number of different genomic particles simultaneously. Conventional fluorescent-based microarrays acquire data after the hybridization phase.
Hassibi, Arjang +2 more
core +2 more sources
Mathematical Modelling and Analysis, 2008 The total least squares (TLS) method is a successful approach for linear problems if both the matrix and the right hand side are contaminated by some noise.
Jörg Lampe, Heinrich Voss
doaj +1 more source
Evaluating the Utilities of Foundation Models in Single‐Cell Data Analysis
Advanced Science, EarlyView.This study delivers the first systematic, task‐level evaluation of single‐cell foundation models across eight core analytical tasks. By benchmarking 10 leading models with the scEval framework, it reveals where foundation models truly add value, where task‐specific methods still dominate, and provides concrete, reproducible guidelines to steer the next
Tianyu Liu +4 more
wiley +1 more source
Annals of Gastroenterological Surgery, EarlyView.In advanced colorectal cancer, tumors with mature tertiary lymphoid structures (TLS) exhibited abundant infiltration of CD3‐ and CD8‐positive lymphocytes in both primary and metastatic sites, indicating an activated immune response. The presence of mature TLS was also associated with favorable chemotherapy sensitivity and improved prognosis.
Nobuhiro Hosoi +9 more
wiley +1 more source
Geodesic least squares regression on information manifolds [PDF]
, 2014 We present a novel regression method targeted at situations with significant uncertainty on both the dependent and independent variables or with non-Gaussian distribution models.
Verdoolaege, Geert
core +2 more sources
General Total Least Squares Theory for Geodetic Coordinate Transformations
Applied Sciences, 2020 Datum transformations are a fundamental issue in geodesy, Global Positioning System (GPS) science and technology, geographical information science (GIS), and other research fields.
Yuxin Qin +3 more
doaj +1 more source
Advanced Intelligent Discovery, EarlyView.A physics‐guided machine learning framework estimates Young's modulus in multilayered multimaterial hyperelastic cylinders using contact mechanics. A semiempirical stiffness law is embedded into a custom neural network, ensuring physically consistent predictions. Validation against experimental and numerical data on C.
Christoforos Rekatsinas +4 more
wiley +1 more source
A Low Cost UWB Based Solution for Direct Georeferencing UAV Photogrammetry [PDF]
, 2017 Thanks to their flexibility and availability at reduced costs, Unmanned Aerial Vehicles (UAVs) have been recently used on a wide range of applications and conditions.
Fissore, Francesca +2 more
core +3 more sources
Advanced Intelligent Discovery, EarlyView.A machine learning method, opt‐GPRNN, is presented that combines the advantages of neural networks and kernel regressions. It is based on additive GPR in optimized redundant coordinates and allows building a representation of the target with a small number of terms while avoiding overfitting when the number of terms is larger than optimal.
Sergei Manzhos, Manabu Ihara
wiley +1 more source