Results 61 to 70 of about 183,644 (280)
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
Gibbs sampling and helix-cap motifs [PDF]
Nucleic Acids Research, 2005 Protein backbones have characteristic secondary structures, including alpha-helices and beta-sheets. Which structure is adopted locally is strongly biased by the local amino acid sequence of the protein. Accurate (probabilistic) mappings from sequence to structure are valuable for both secondary-structure prediction and protein design.
Kruus, Erik +3 more
openaire +2 more sources
Advanced Functional Materials, EarlyView.Copper catalysts introduced with different non‐metallic elements regulating the coordination number of Cu are prepared by magnetron sputtering. Reducing the Cu coordination number enhances C─C coupling and boosts C2+ product selectivity, by lowering the energy barrier for the *CO → *CHO conversion step. The optimized Si‐doped Cu catalyst achieves a C2+
Xiaoye Du +8 more
wiley +1 more source
Revista Brasileira de Epidemiologia, 2003 Neste artigo, apresentamos estimadores bayesianos para a prevalência de tuberculose usando métodos computacionais de simulação de amostras da distribuição a posteriori de interesse.
Jorge Alberto Achcar +1 more
doaj +1 more source
Temperature and Friction Accelerated Sampling of Boltzmann-Gibbs Distribution [PDF]
, 2010 This paper is concerned with tuning friction and temperature in Langevin dynamics for fast sampling from the canonical ensemble. We show that near-optimal acceleration is achieved by choosing friction so that the local quadratic approximation of the ...
Marsden, Jerrold E. +2 more
core +1 more source
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.A solvent‐free mechanochemistry‐enabled supramolecular engineering strategy is developed to directly synthesize covalent‐interconnected two‐dimensional atomic‐layered carbon nitride nanosheets photocatalyst, bypassing conventional top‐down exfoliation requirements.
Fanglei Yao +7 more
wiley +1 more source
, 2015 Gibbs sampling is a Markov Chain Monte Carlo (MCMC) method often used in Bayesian learning. MCMC methods can be difficult to deploy on parallel and distributed systems due to their inherently sequential nature. We study asynchronous Gibbs sampling, which achieves parallelism by simply ignoring sequential requirements.
Terenin, Alexander +2 more
openaire +2 more sources
Advanced Functional Materials, EarlyView.A rationally engineered bifunctional photocatalyst is reported, which achieves simultaneous selective oxidation of biomass‐derived 5‐hydroxymethylfurfural (HMF) to 2,5‐diformylfuran (DFF) and efficient H2 evolution. By precisely positioning Au and Co3O4 on Zn3In2S6 nanosheet, dual interfacial electric fields are well constructed to spatially separate ...
Shiqing Li +8 more
wiley +1 more source
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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