Tag: ensemble
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On Fibonacci Ensembles: An Alternative Approach to Ensemble Learning Inspired by the Timeless Architecture of the Golden Ratio
On Fibonacci Ensembles: An Alternative Approach to Ensemble Learning Inspired by the Timeless Architecture of the Golden Ratio arXiv:2512.22284v1 Announce Type: new Abstract: Nature rarely reveals her secrets bluntly, yet in the Fibonacci sequence she grants us a glimpse of her quiet architecture of growth, harmony, and recursive stability citep{Koshy2001Fibonacci, Livio2002GoldenRatio}. From spiral galaxies to…
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A General Weighting Theory for Ensemble Learning: Beyond Variance Reduction via Spectral and Geometric Structure
A General Weighting Theory for Ensemble Learning: Beyond Variance Reduction via Spectral and Geometric Structure arXiv:2512.22286v1 Announce Type: new Abstract: Ensemble learning is traditionally justified as a variance-reduction strategy, explaining its strong performance for unstable predictors such as decision trees. This explanation, however, does not account for ensembles constructed from intrinsically stable estimators-including smoothing splines,…
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Learning Enhanced Ensemble Filters
Learning Enhanced Ensemble Filters arXiv:2504.17836v1 Announce Type: new Abstract: The filtering distribution in hidden Markov models evolves according to the law of a mean-field model in state–observation space. The ensemble Kalman filter (EnKF) approximates this mean-field model with an ensemble of interacting particles, employing a Gaussian ansatz for the joint distribution of the state and…
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Nonlinear Bayesian Update via Ensemble Kernel Regression with Clustering and Subsampling
Nonlinear Bayesian Update via Ensemble Kernel Regression with Clustering and Subsampling arXiv:2503.15160v1 Announce Type: new Abstract: Nonlinear Bayesian update for a prior ensemble is proposed to extend traditional ensemble Kalman filtering to settings characterized by non-Gaussian priors and nonlinear measurement operators. In this framework, the observed component is first denoised via a standard Kalman update,…
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Addressing the Butterfly Effect: Data Assimilation Using Ensemble Kalman Filter
Addressing the Butterfly Effect: Data Assimilation Using Ensemble Kalman Filter Learn how to implement the Ensemble Kalman Filter for data assimilation, with mathematical details step-by-step code. Continue reading on Towards Data Science ยป Wencong Yang, PhD Go to original source