Results 71 to 80 of about 182,801 (272)
Speeding up Glauber Dynamics for Random Generation of Independent Sets
, 2015 The maximum independent set (MIS) problem is a well-studied combinatorial optimization problem that naturally arises in many applications, such as wireless communication, information theory and statistical mechanics.
Bouillard, Anne +2 more
core +3 more sources
Advanced Functional Materials, EarlyView.This review systematically highlights the latest achievements in mixed‐valence states relevant to hydrogen and oxygen evolution reactions, providing essential insights into future directions and methods for large‐scale practical implementation. This critical review is expected to provide an overview of recent advancements in diverse valence‐state metal
Jitendra N. Tiwari +4 more
wiley +1 more source
Mobile Cloud Data Storage Based on Gibbs Sampling and Probability Distribution Estimation [PDF]
Jisuanji gongcheng, 2017 In order to improve the computing and storage capacity of mobile cloud data storage remote server,this paper proposes an improved mobile cloud data storage algorithm.Firstly,it constructs resampling expected propagation time calculation model by ...
LI Youling,CHANG Zhiquan
doaj +1 more source
Advanced Functional Materials, EarlyView.In this strategy, a conductive nano‐probe is employed to induce nanoscale phase transitions and map the nanoscale conductivity and trap density of GST films. By utilizing the contrasting properties of phase‐change states, nano‐resonators are fabricated that exhibit plasmonic conduction and dramatically different transport characteristics.
Sunwoo Bang +4 more
wiley +1 more source
Bernoulli, 2015 The particle Gibbs sampler is a Markov chain Monte Carlo (MCMC) algorithm to sample from the full posterior distribution of a state-space model. It does so by executing Gibbs sampling steps on an extended target distribution defined on the space of the auxiliary variables generated by an interacting particle system.
Chopin, Nicolas, Singh, Sumeetpal
openaire +4 more sources
Advanced Functional Materials, EarlyView.An innovative medium entropy alloy (MEA) composite material was fabricated via micro laser powder bed fusion (μ‐LPBF) with appropriate nano‐ceramic particles doping and exhibited markedly improved overall performance, including synergistically enhanced strength and ductility, increased hardness and compressive strength, improved wear resistance and ...
Zhonglin Shen, Mingwang Fu
wiley +1 more source
Italian Journal of Animal Science, 2022 The main goal of breeding programmes is to maximise the genetic improvement of the economic traits of farm animals. Beside the economic traits, the birds’ survival has directly influenced on the economic gain.
Razieh Saghi +4 more
doaj +1 more source
From Single Atoms to Nanoparticles: Pathways Toward Efficient and Durable Pt/TiO2 Photocatalysts
Advanced Functional Materials, EarlyView.Platinum single atoms on TiO2 nanosheets evolve into clusters and nanoparticles under ethanol photoreforming and thermal treatments. By controlling deposition and post‐treatments, particle size and location on specific facets are modulated. The study reveals how stability pathways determine efficiency, guiding the design of more durable photocatalysts.
Juan José Delgado +6 more
wiley +1 more source
Particle Gibbs with Ancestor Sampling
, 2014 Particle Markov chain Monte Carlo (PMCMC) is a systematic way of combining the two main tools used for Monte Carlo statistical inference: sequential Monte Carlo (SMC) and Markov chain Monte Carlo (MCMC).
Jordan, Michael I. +2 more
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Gibbs Max-margin Topic Models with Data Augmentation [PDF]
, 2013 Max-margin learning is a powerful approach to building classifiers and structured output predictors. Recent work on max-margin supervised topic models has successfully integrated it with Bayesian topic models to discover discriminative latent semantic ...
Chen, Ning +3 more
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