Results 41 to 50 of about 5,756,257 (288)
Copolymerization Reactivity Ratio Inference: Determining Confidence Contours in Parameter Space via a Bayesian Hierarchical Approach [PDF]
, 2022 Confidence contours in parameter space are a helpful tool to compare and classify determined estimators. For more intricate parameter estimations of non-linear nature or complex error structures, the procedure of determining confidence contours is a ...
Robert, Reischke
core +1 more source
Hyper-parameter Optimization for Latent Spaces
, 2021 We present an online optimization method for time-evolving data streams that can automatically adapt the hyper-parameters of an embedding model. More specifically, we employ the Nelder-Mead algorithm, which uses a set of heuristics to produce and exploit several potentially good configurations, from which the best one is selected and deployed.
Bruno Veloso +6 more
openaire +3 more sources
IEEE Access, 2018 This paper proposes a new spatiotemporal chaos model, which is a logistic-dynamic coupled logistic map lattice (LDCML). Through a large number of simulation experiments and theoretical analysis, it can be proved that a chaotic region has the larger ...
Wang Xingyuan +4 more
doaj +1 more source
Reducing parameter space for neural network training
Theoretical and Applied Mechanics Letters, 2020 : For neural networks (NNs) with rectified linear unit (ReLU) or binary activation functions, we show that their training can be accomplished in a reduced parameter space.
Tong Qin, Ling Zhou, Dongbin Xiu
doaj +1 more source
Parameter space in Galileon gravity models [PDF]
Physical Review D, 2013 21 pages, 7 figures and 2 tables v2. Presentational changes in some figures. References added.
Barreira A +4 more
openaire +4 more sources
Hough Transform Implementation For Event-Based Systems: Concepts and Challenges
Frontiers in Computational Neuroscience, 2018 Hough transform (HT) is one of the most well-known techniques in computer vision that has been the basis of many practical image processing algorithms. HT however is designed to work for frame-based systems such as conventional digital cameras. Recently,
Sajjad Seifozzakerini +4 more
doaj +1 more source
Parameter space for magnetization effects in high-energy-density plasmas
Matter and Radiation at Extremes, 2021 Magnetic fields are well known to affect the evolution of fluids via the J × B force, where J is the current density and B is the magnetic field. This force leads to the influence of magnetic fields on hydrodynamics (magnetohydrodynamics).
James D. Sadler, Hui Li, Kirk A. Flippo
doaj +1 more source
IEEE Access, 2021 This paper presents a multi-objective digital PID controller design method using the parameter space approach of robust control. Absolute stability is treated first by finding the digital PID controller gain parameter space corresponding to closed loop ...
Haoan Wang +2 more
doaj +1 more source
Organoids in pediatric cancer research
FEBS Letters, EarlyView.Organoid technology has revolutionized cancer research, yet its application in pediatric oncology remains limited. Recent advances have enabled the development of pediatric tumor organoids, offering new insights into disease biology, treatment response, and interactions with the tumor microenvironment.
Carla Ríos Arceo, Jarno Drost
wiley +1 more source
Storm Waves at the Shoreline: When and Where Are Infragravity Waves Important?
Journal of Marine Science and Engineering, 2019 Infragravity waves (frequency, f = 0.005–0.05 Hz) are known to dominate hydrodynamic and sediment transport processes close to the shoreline on low-sloping sandy beaches, especially when incident waves are large.
Oliver Billson +2 more
doaj +1 more source