Optimal Information Combining for Multi-Agent Systems Using Adaptive Bias Learning
arxiv.org·1d
💾information theory
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Condensin Complex Dynamics: A Bayesian Network Approach to Chromosome Condensation Prediction
🤖Scikit-learn
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A spatiotemporal concentration field reconstruction method for natural gas leakage based on the integration of diffusion models and PIGCN
sciencedirect.com·2h
🌪️Catastrophe Modeling
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Physics informed machine learning based predictive control for intelligent operation of edge datacenters
sciencedirect.com·2h
⏸️Backpressure
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Independent Auditing Framework for Algorithmic Fairness: A Dynamic Bayesian Network Approach
📐Gini Coefficient
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Propagated risk control in cascading water reservoirs: A synergistic Bayesian-robust approach for climate-resilient water system management
sciencedirect.com·2h
🌪️Chaos Engineering
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Testing Unnatural Prompt Engineering Across Five Large Language Models
blog.codeminer42.com·1d
🎲Property-Based Testing
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Hyper-Dimensional Bayesian Optimization for Enhanced Statistical Process Control
🎛statistical process control
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Transition to Collective Motion in Nonreciprocal Active Matter: Coarse Graining Agent-Based Models into Fluctuating Hydrodynamics
journals.aps.org·1d
📐Stochastic Calculus
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A Bayesian Explanation of Causal Models
lesswrong.com·4d
🌪extreme value theory
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TinyML is the most impressive piece of software you can run on any ESP32
xda-developers.com·1d
🤖Scikit-learn
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Predictive Maintenance Optimization via Bayesian Federated Learning of Degradation Trajectories
🤖Scikit-learn
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Assessment of the conditional exchangeability assumption in causal machine learning models: a simulation study
arxiv.org·1d
📐Gini Coefficient
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Predictive Model-Based Design Validation via Dynamic Bayesian Network Fusion
🌪️Chaos Engineering
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Uncertainty-Aware Diagnostics for Physics-Informed Machine Learning
arxiv.org·1d
🤖Scikit-learn
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SAMRI: Segment Anything Model for MRI
arxiv.org·1d
🤖Scikit-learn
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