Results 191 to 200 of about 221,738 (314)

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

Appendix C. Simulation results comparing maximum-likelihood estimates with those obtained using the Markov chain Monte Carlo method.

, 2016
James E. Hines, James D. Nichols, J. Andrew Royle, Darryl I. MacKenzie, Arjun M. Gopalaswamy, N. Samba Kumar, K. Ullas Karanth   +6 more
openalex   +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

A table of short-period Tausworthe generators for Markov chain quasi-Monte Carlo [PDF]

, 2020
Shin Harase
openalex   +1 more source

Signal Extraction and Clustering of Partial Discharge in Motor Insulation Using Temporal Correlation‐Based Clustering

High Voltage, EarlyView.
ABSTRACT As one of the important links in energy transition and global energy interconnection, electric vehicles (EVs) are becoming increasingly major research topics in the field of energy. Partial discharge (PD) identification under repetitive impulsive voltages plays a pivotal role in evaluating the health of electric vehicle (EV) motor insulation ...
Li Wang, Jia‐Wei Zhang, Haikun Shang, Yu Zhao, Yufei Wang, Chen Song, Jianwei Zhang, Fouad Belhora   +7 more
wiley   +1 more source

Utilizing Network Structure to Accelerate Markov Chain Monte Carlo Algorithms [PDF]

, 2016
Ahmad Askarian, Rupei Xu, András Faragó   +2 more
openalex   +1 more source

Spider mite genotypes with higher growth rate suffer more from competition but exert stronger reproductive interference

Journal of Animal Ecology, EarlyView.
Genetic correlations have strong implications for species coexistence and their evolution. Studies addressing this issue generally tackle traits associated with competition for food and those underlying reproductive interference separately, whereas it is clear that the interaction among these is key to understand the ecology and evolution of closely ...
Miguel A. Cruz, Flore Zélé, Raquel Gaspar, Ricardo Santos, Leonor R. Rodrigues, Vitor C. Sousa, Sara Magalhães   +6 more
wiley   +1 more source

Gradient boosting: A computationally efficient alternative to Markov chain Monte Carlo sampling for fitting large Bayesian spatio-temporal binomial regression models. [PDF]

Infect Dis Model
Huang R, McMahan C, Herrin B, McLain A, Cai B, Self S.   +5 more
europepmc   +1 more source