On-device research index

arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

168,742 papers · 148 categories

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5 results for “EOFs”

Multi-step Time Series Forecasting Using Ridge Polynomial Neural Network with Error-Output Feedbackscs.LG

Time series forecasting gets much attention due to its impact on many practical applications. Higher-order neural network with recurrent feedback is a powerful technique which used successfully for forecasting. It maintains fast learning and the ability to learn the dynamics of the series over time. For that, in this p…

2018-11-28abs ↗pdf ↗

Spatiotemporal Forecasting in Climate Data Using EOFs and Machine Learning Models: A Case Study in Chilecs.LG

This study forecasts climate data in Chile using EOFs and machine learning models.

problem Predicting climatic variability in Chile for resource management and planning.

method Combines EOF decomposition, wavelet analysis, and neural networks for spatiotemporal forecasting.

result Improved accuracy in forecasting climate data through a hybrid ML approach.

climate forecasting EOFs wavelet analysis machine learning Chile

2025-02-21abs ↗pdf ↗

Generalization Guarantees for Sparse Kernel Approximation with Entropic Optimal Featurescs.LG

Paper develops a new kernel expansion method using entropic optimal features for sparse and efficient kernel approximation.

problem Efficient kernel approximation with reduced computational cost and feature dissimilarity.

method Develops a novel optimal design maximizing entropy among kernel features, resulting in a sparse kernel expansion.

result Achieves optimal statistical accuracy with only $O(N^{rac{1}{4}})$ features, significantly reducing time and space costs.

Kernel approximation Sparse features Entropy maximization Optimal design Generalization bound

2020-02-11abs ↗pdf ↗

Applications of machine learning to predict seasonal precipitation for East Africastat.AP

Machine learning predicts seasonal precipitation for East Africa.

problem Predicting seasonal precipitation for East Africa using machine learning.

method Dimension reduction via EOFs, large-scale climate variability indices as features, interpretable ML algorithm.

result The ML approach shows significant positive skill in predicting precipitation for OND season, comparable to ECMWF forecasts.

machine learning precipitation prediction East Africa seasonal forecasting climate variability

2024-09-10abs ↗pdf ↗

Reservoir Computing as a Tool for Climate Predictability Studiesphysics.geo-ph

Reservoir Computing enhances climate predictability studies.

problem Improving climate predictability using machine learning.

method Reservoir Computing applied to climate data.

result Reservoir Computing outperforms traditional LIM in predicting climate variables.

climate predictability Reservoir Computing machine learning climate modeling predictability studies

2021-02-24abs ↗pdf ↗