Results 181 to 190 of about 12,927,533 (245)

Improved Monte Carlo methods for estimating confidence intervals for eleven commonly used health disparity measures. [PDF]

PLoS One, 2019
Ahn J, Harper S, Yu M, Feuer EJ, Liu B.
europepmc   +1 more source

Analytical Prediction of Critical Transitions in Oscillator Networks With Non‐Local Links

Advanced Science, EarlyView.
An analytical framework reveals how global coupling, second‐harmonic strength, noise, and network structure govern oscillator‐based Ising dynamics. Spectral reduction predicts stability boundaries, while Fokker–Planck analysis captures one‐ to two‐cluster transitions and identifies conditions favoring low‐energy configurations.
Qiang Li, Chumin Sun, David Waxman, Renaud Lambiotte, Jie Sun, Peng Ji   +5 more
wiley   +1 more source

Diffusion of proteins in crowded solutions studied by docking-based modeling. [PDF]

J Chem Phys
Singh A, Kundrotas PJ, Vakser IA.
europepmc   +1 more source

Quasi-Monte Carlo Methods Applied to Tau-Leaping in Stochastic Biological Systems. [PDF]

Bull Math Biol, 2019
Beentjes CHL, Baker RE.
europepmc   +1 more source

Efficient In‐Hardware Matrix–Vector Multiplication and Addition Exploiting Bilinearity of Schottky Barrier Transistors Processed on Industrial FDSOI

Advanced Electronic Materials, EarlyView.
ABSTRACT Machine learning and Artificial Intelligence (AI) tasks have stretched traditional hardware to its limits. In‐hardware computation is a novel approach that aims to run complex operations, such as matrix–vector multiplication, directly at the device level for increased efficiency.
Juan P. Martinez, Niladri Bhattacharjee, Yuxuan He, Giulio Galderisi, Brojogopal Sapui, Sara Mannaa, Ian O'Connor, Violetta Sessi, Peter Javorka, Thomas Mikolajick, Jens Trommer   +10 more
wiley   +1 more source

Segmenting Proteins into Tripeptides to Enhance Conformational Sampling with Monte Carlo Methods. [PDF]

Molecules, 2018
Denarie L, Al-Bluwi I, Vaisset M, Siméon T, Cortés J.   +4 more
europepmc   +1 more source

On the Role of Preprocessing and Memristor Dynamics in Reservoir Computing for Image Classification

Advanced Electronic Materials, EarlyView.
ABSTRACT Reservoir computing (RC) is an emerging recurrent neural network architecture that has attracted growing attention for its low training cost and modest hardware requirements. Memristor‐based circuits are particularly promising for RC, as their intrinsic dynamics can reduce network size and parameter overhead in tasks such as time‐series ...
Rishona Daniels, Duna Wattad, Ronny Ronen, David Saad, Shahar Kvatinsky   +4 more
wiley   +1 more source

Diffusion Equation-Assisted Markov Chain Monte Carlo Methods for the Inverse Radiative Transfer Equation. [PDF]

Entropy (Basel), 2019
Li Q, Newton K.
europepmc   +1 more source

Stochastic‐MTJ Sampler Arrays for In‐Array Monte–Carlo Estimation

Advanced Electronic Materials, EarlyView.
A low‐energy‐barrier magnetic tunnel junction array is operated as a probability‐domain sampler: each cell's random switching, programmed through a shared digital‐to‐analog converter, makes the per‐column multiply–accumulate an unbiased Monte–Carlo expectation estimator that returns both a mean and a calibrated uncertainty.
Ran Zhang, Nellie Laleni, Sina Ranjbar, Andreas Tsiougkos, Nandakishor Yadav, Vasilis Pavlidis, Thomas Kämpfe   +6 more
wiley   +1 more source

Comprehensive benchmarking of Markov chain Monte Carlo methods for dynamical systems. [PDF]

BMC Syst Biol, 2017
Ballnus B, Hug S, Hatz K, Görlitz L, Hasenauer J, Theis FJ.   +5 more
europepmc   +1 more source