Results 31 to 40 of about 183,644 (280)

Estimating CDMs Using the Slice-Within-Gibbs Sampler

Frontiers in Psychology, 2020
In this paper, the slice-within-Gibbs sampler has been introduced as a method for estimating cognitive diagnosis models (CDMs). Compared with other Bayesian methods, the slice-within-Gibbs sampler can employ a wide-range of prior specifications; moreover,
Xin Xu, Jimmy de la Torre, Jiwei Zhang, Jinxin Guo, Ningzhong Shi   +4 more
doaj   +1 more source

Dissipative Quantum Gibbs Sampling

, 2023
20 pages, 15 Theorems etc.
Zhang, Daniel, Bosse, Jan Lukas, Cubitt, Toby   +2 more
openaire   +2 more sources

Markov Chain Monte Carlo Algorithms for Lattice Gaussian Sampling

, 2014
Sampling from a lattice Gaussian distribution is emerging as an important problem in various areas such as coding and cryptography. The default sampling algorithm --- Klein's algorithm yields a distribution close to the lattice Gaussian only if the ...
Hanrot, Guillaume, Ling, Cong, Wang, Zheng   +2 more
core   +1 more source

Gibbs state sampling via cluster expansions

npj Quantum Information
Gibbs states (i.e., thermal states) can be used for several applications such as quantum simulation, quantum machine learning, quantum optimization, and the study of open quantum systems.
Norhan M. Eassa, Mahmoud M. Moustafa, Arnab Banerjee, Jeffrey Cohn   +3 more
doaj   +1 more source

Performance of the No-U-Turn sampler in multi-trait variance component estimation using genomic data

Genetics Selection Evolution, 2022
Background Multi-trait genetic parameter estimation is an important topic for target traits with few records and with a low heritability and when the genetic correlation between target and secondary traits is strong.
Motohide Nishio, Aisaku Arakawa
doaj   +1 more source

Gibbs Sampling with Low-Power Spiking Digital Neurons

, 2015
Restricted Boltzmann Machines and Deep Belief Networks have been successfully used in a wide variety of applications including image classification and speech recognition.
Arthur, John, Cassidy, Andrew S., Cauwenberghs, Gert, Das, Srinjoy, Jackson, Bryan L., Kreutz-Delgado, Ken, Merolla, Paul, Modha, Dharmendra, Pedroni, Bruno Umbria   +8 more
core   +1 more source

Structural insights into lacto‐N‐biose I recognition by a family 32 carbohydrate‐binding module from Bifidobacterium bifidum

FEBS Letters, EarlyView.
Bifidobacterium bifidum establishes symbiosis with infants by metabolizing lacto‐N‐biose I (LNB) from human milk oligosaccharides (HMOs). The extracellular multidomain enzyme LnbB drives this process, releasing LNB via its catalytic glycoside hydrolase family 20 (GH20) lacto‐N‐biosidase domain.
Xinzhe Zhang, Naoki Sunagawa, Toma Kashima, Kiyohiko Igarashi, Akimasa Miyanaga, Shinya Fushinobu   +5 more
wiley   +1 more source

A Workflow to Accelerate Microstructure‐Sensitive Fatigue Life Predictions

Advanced Engineering Materials, EarlyView.
This study introduces a workflow to accelerate predictions of microstructure‐sensitive fatigue life. Results from frameworks with varying levels of simplification are benchmarked against published reference results. The analysis reveals a trade‐off between accuracy and model complexity, offering researchers a practical guide for selecting the optimal ...
Luca Loiodice, Krzysztof S. Stopka, Michael D. Sangid   +2 more
wiley   +1 more source

Bayesian logistic regression analysis for spatial patterns of inter-seasonal drought persistence

Geocarto International, 2023
Drought is one of the disastrous natural hazards with complex seasonal and spatial patterns. Understanding the spatial patterns of drought and predicting the likelihood of inter-seasonal drought persistence can provide substantial operational guidelines ...
Muhammad Ahmad Raza, Mohammed M. A. Almazah, Ijaz Hussain, Fuad S. Al-Duais, A. Y. Al-Rezami, Talha Omer   +5 more
doaj   +1 more source