Bayesian Efficient Coding Framework Redefines Sensory Neuroscience Design Principles
Researchers Il Memming Park and Jonathan W. Pillow have formulated an explicit Bayesian theory of efficient coding that unifies information ...
Researchers Il Memming Park and Jonathan W. Pillow have formulated an explicit Bayesian theory of efficient coding that unifies information ...
A study published in Earth Science Informatics presents a Bayesian-optimized fully convolutional network, designated Bo-FCN-8 S, for the automated pixel-level ...
Researchers applied Bayesian optimization to hydrodynamic flow models to determine that a shallow, laterally extended submarine landslide generated the non-seismic ...
A Bayesian survival analysis of Ethiopian demographic data shows that under-five mortality is concentrated in infancy, with lower hazards among ...
Researchers developed purNPE, a simulation-based Bayesian deep-learning framework that enables uncertainty-aware tumor fraction estimation in cell-free DNA without requiring labeled ...
A multi-model hydrological study across Japanese river basins demonstrates that Bayesian parameter estimation provides little operational forecasting benefit over deterministic ...
A scoping review of Phase II clinical trials revealed poor reporting and limited implementation details for Bayesian robust information borrowing ...
An experiment using multi-objective Bayesian optimization mapped the strength–stretchability trade-off in polyethylene composite films and linked it to molecular alignment ...
A Bayesian analysis of 28,151 Tanzanian children links malaria to sharply elevated anemia odds, with the strongest association among older ...
A dynamic Bayesian network framework applied to a real-world rail system quantifies resilience under short-term and long-term extreme weather disruptions ...
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© 2025 Scienmag - Science Magazine