Results 191 to 200 of about 85,479 (297)

Ecology of reintroduced Rocky Mountain bighorn sheep in Dinosaur National Monument La Ecología de Borrego Cimarron de las Montañas Rocosas Reintroducido en el Monumento Nacional de Dinosaurio

Wildlife Monographs, EarlyView.
We synthesized GPS telemetry, genetic, and pathogen data to evaluate metapopulation processes in a reintroduced Rocky Mountain bighorn sheep (Ovis canadensis canadensis) population in Dinosaur National Monument. We estimated subpopulation‐specific abundances and found 4 small subpopulations with high genetic diversity, partial connectivity, and ...
Sarah L. Carroll, Elizabeth P. Flesch, Salix R. Scoresby, Emily Spencer, Rachel S. Crowhurst, Clinton W. Epps, Nathan L. Galloway, William M. Janousek, Tabitha A. Graves   +8 more
wiley   +1 more source

Approximating the ideal observer for joint signal detection and estimation tasks by the use of Markov-Chain Monte Carlo with generative adversarial networks. [PDF]

J Med Imaging (Bellingham)
Li D, Li K, Zhou W, Anastasio MA.
europepmc   +1 more source

Bayesian mixture modelling and inference based Thompson sampling in Monte-Carlo tree search

, 2013
Monte-Carlo tree search is drawing great interest in the domain of planning under uncertainty, particularly when little or no domain knowledge is available. One of the central problems is the trade-off between exploration and exploitation.
Aijun Bai, Wu, Feng, Bai, Aijun, Chen, Xiaoping, Xiaoping Chen, Feng Wu   +5 more
core  

Feathers and flu: identifying data gaps in avian influenza host dynamics to prioritize wildlife conservation Plumas y gripe: identificación de datos faltantes en la dinámica de hospedadores de la influenza aviar para priorizar la conservación de la vida silvestre

Wildlife Monographs, EarlyView.
We describe the host response continuum for highly pathogenic avian influenza viruses (HPAIV), including the continuum of host responses to HPAIV infection and exposure based on the primary axis of host competence, ability to infect other hosts, and host vulnerability.
Johanna A. Harvey, Matthew Gonnerman, Shenglai Yin, Cody M. Kent, Joshua Cullen, Jeffery D. Sullivan, Jonathan B. Dain, Nichola J. Hill, Diann J. Prosser, Jennifer M. Mullinax   +9 more
wiley   +1 more source

Layer wise Scaled Gaussian Priors for Markov Chain Monte Carlo Sampled deep Bayesian neural networks. [PDF]

Front Artif Intell
Jawla D, Kelleher J.
europepmc   +1 more source

Identifiability and convergence behavior for Markov chain Monte Carlo using multivariate probit models. [PDF]

Commun Stat Theory Methods
Zhang X.
europepmc   +1 more source

Multitype Game Optimisation: A Two‐Stage Fine‐Tuning Framework for Multi‑Game Optimisation With Large Language Models

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Large language models (LLMs) have made remarkable advances in natural language processing, demonstrating great potential in modelling structured sequences. However, adapting these capabilities to machine gaming tasks such as Go remains challenging due to limitations in strategy generalisation and optimisation efficiency.
Xiali Li, Jingshi Gu, Feifan He, Yang Xiao, Yuanli Jia, Ping Lan   +5 more
wiley   +1 more source

Bayesian Analysis of Exponential Random Graph Models Using Stochastic Gradient Markov Chain Monte Carlo. [PDF]

Bayesian Anal
Zhang Q, Liang F.
europepmc   +1 more source

Markov chain Monte Carlo with Gaussian processes for fast parameter estimation and uncertainty quantification in a 1D fluid-dynamics model of the pulmonary circulation. [PDF]

Int J Numer Method Biomed Eng, 2021
Paun LM, Husmeier D.
europepmc   +1 more source

Optimal Scheduling of Data Centre Integrated Energy Systems Considering Electric‐Thermal Demand Response Under Icing Uncertainty

Energy Internet, EarlyView.
ABSTRACT Extreme icing disasters increasingly undermine the reliability of integrated power and heat networks by causing line outages, supply shortages and sharp thermal load fluctuations. To address these challenges, this paper proposes a comprehensive optimisation framework that exploits the spatiotemporal flexibility of data centres for coordinated ...
Yan Wang, Hui Hou, Zhengguo Wang, Wenzhe Zheng, Zhengtian Li, Xiangning Lin, Wu Chen   +6 more
wiley   +1 more source