Results 151 to 160 of about 6,923,335 (304)
PSQP: Puzzle Solving by Quadratic Programming
F. Andalo, G. Taubin, S. Goldenstein
semanticscholar +1 more source
Factorization machine with iterative quantum reverse annealing (FMIRA) leverages quantum reverse annealing to perform batch black‐box optimization. Factorization machine with quantum annealing (FMQA) is a widely used python package for solving black‐box optimization problems using D‐Wave quantum annealers.
Andrejs Tučs, Ryo Tamura, Koji Tsuda
wiley +1 more source
Using Quadratic Programming to Reconstruct Data From Published Survival and Competing Risks Analyses. [PDF]
Titman AC.
europepmc +1 more source
The authors develop a deep learning model for real‐time tracking of wound progression. The deep learning framework maps the nonlinear evolution of a time series of images to a latent space, where they learn a linear representation of the dynamics. The linear model is interpretable and suitable for applications in feedback control.
Fan Lu +11 more
wiley +1 more source
A selection index with minimal genetic relatedness for multi-trait data via binary quadratic programming. [PDF]
Montesinos-López OA +3 more
europepmc +1 more source
Quantitative phase maps of single cells recorded in flow cytometry modality feed a hierarchical architecture of machine learning models for the label‐free identification of subtypes of ovarian cancer. The employment of a priori clinical information improves the classification performance, thus emulating the clinical application of liquid biopsy during ...
Daniele Pirone +11 more
wiley +1 more source
A meta-interactive neural network for solving time-varying quadratic programming problems. [PDF]
Zhang Z, Sun X, Liu Y, Luo Y.
europepmc +1 more source
This review aims to provide a broad understanding for interdisciplinary researchers in engineering and clinical applications. It addresses the development and control of magnetic actuation systems (MASs) in clinical surgeries and their revolutionary effects in multiple clinical applications.
Yingxin Huo +3 more
wiley +1 more source
Walking Pattern Generation Through Step-by-Step Quadratic Programming for Biped Robots. [PDF]
Liu G, Lu Z, Zhang H, Liu Z.
europepmc +1 more source
Numerical solution of a general interval quadratic programming model for portfolio selection. [PDF]
Wang J, He F, Shi X.
europepmc +1 more source

