Results 171 to 180 of about 3,120,690 (293)
Advancing multilevel Bayesian networks with efficient Bayesian inference. [PDF]
Yirdaw BE +3 more
europepmc +1 more source
Large language models serve as representation generators for gradient‐free scientific optimization. Two complementary approaches produce executable battery‐charging policies either directly or through LLM‐designed neural representations coupled to Bayesian optimization.
Ge Lei +3 more
wiley +1 more source
Modeling hierarchical relationships in epidemiological studies: a Bayesian networks approach [PDF]
Hierarchical relationships between risk factors are seldom taken into account in epidemiological studies though some authors stressed the importance of doing so, and proposed a conceptual framework in which each level of the hierarchy is modeled ...
Nguefack-Tsague, Georges +1 more
core
An Expertise Transfer Framework For Autonomous Surgical Assistance
This study introduces an expertise transfer framework for procedure‐spanning autonomous surgical assistance. By emulating expert logic through hierarchical perception, attention modeling, and knowledge graph‐based decision‐making, the system provides near‐expert surgical view assistance.
Yuan Gao +12 more
wiley +1 more source
Evaluation of the high-quality development of graduate education in mining engineering based on ISM and Bayesian networks. [PDF]
Wu L, Sun Z, Yang Y.
europepmc +1 more source
Q‐LEAP: Millisecond Hyperdimensional Optimization for Full‐Spectrum Optical Metamaterials
Q‐LEAP integrates physics‐informed residual machine learning with factorization‐machine‐encoded quantum annealing to design full‐spectrum optical metamaterials. It explores a 2108 design space and, in a single 2.56 ms annealing step, reaches 85.83% of the theoretical FoM limit, enabling selective 5‐8 µm emission with 3–5 and 8–14 µm suppression and ∼40×
Zikang Guo +3 more
wiley +1 more source
This study employs a spouse‐pair cohort design and an idopNetwork model that integrates evolutionary game theory, predator‐prey dynamics, and developmental modularity theory to reconstruct maximally informative microbial interaction networks. This approach reveals how interspecies interactions drive the phenotypic plasticity of the gut microbiota in ...
Huizhen Li +15 more
wiley +1 more source
Expression of Concern: Modeling the social drivers of environmental sustainability among Amazonian indigenous lands using Bayesian networks. [PDF]
PLOS One Editors.
europepmc +1 more source
An MTJ‐based probabilistic processing‐in‐memory architecture unites nonvolatile storage, local entropy generation, and stochastic computation within each memory cell. Stored multi‐bit weights are converted directly into programmable stochastic bitstreams, enabling neural‐network inference, adaptive Ising optimization, and uncertainty‐aware Bayesian ...
Qiuyuan Wang +6 more
wiley +1 more source

