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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 “LLT”

Predicting the Price Movement of Cryptocurrencies Using Linear Law-based Transformationq-fin.ST

LLT improves cryptocurrency price movement prediction accuracy.

problem Predicting intraday price movements of cryptocurrencies.

method Linear law-based feature space transformation (LLT) applied to cryptocurrency price data.

result LLT significantly enhances prediction accuracy for all cryptocurrencies.

cryptocurrency price prediction LLT machine learning cross-validation

2023-04-27abs ↗pdf ↗

LLT: An R package for Linear Law-based Feature Space Transformationcs.LG

LLT transforms time series features based on linear laws.

problem Classifying univariate and multivariate time series.

method Time-delay embedding, spectral decomposition, and feature transformation.

result Transformed features improve classification accuracy.

time series classification feature transformation linear laws spectral decomposition

2023-04-27abs ↗pdf ↗

Learning ECG Signal Features Without Backpropagation Using Linear Lawscs.LG

LLT-ECG classifies ECG signals without backpropagation using linear laws.

problem ECG signal classification efficiency and verifiability.

method Forward linear law identification for ECG signal features.

result State-of-the-art performance on real-world ECG datasets.

ECG signal classification linear laws forward approach state-of-the-art PhysioNet datasets

2023-07-04abs ↗pdf ↗

Adaptive Law-Based Transformation (ALT): A Lightweight Feature Representation for Time Series Classificationcs.LG

ALT improves TSC by capturing complex patterns in time series data.

problem Challenges in traditional TSC methods with time series complexity and variability.

method ALT incorporates variable-length shifted time windows to enhance LLT for better feature representation.

result ALT achieves state-of-the-art performance with few hyperparameters.

time series classification feature representation time windows pattern recognition linear transformation

2025-01-16abs ↗pdf ↗

ALT: A Python Package for Lightweight Feature Representation in Time Series Classificationcs.LG

ALT transforms time series data for better classification.

problem Efficiently classifying time series data with varying temporal scales.

method ALT algorithm using variable-length shifted time windows.

result State-of-the-art performance with minimal computational overhead.

time series classification adaptive law-based transformation variable-length windows scalability interpretability

2025-04-17abs ↗pdf ↗