Tag: time series forecasting
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PAMod: Advanced Phase-Amplitude Modulation for Time Series Forecasting
Discover PAMod, a novel framework using phase-amplitude modulation to improve accuracy in non-stationary time series forecasting with cyclical shifts.
TimeRFT: Boosting Time Series Forecasting with Reinforcement Learning
Discover how TimeRFT enhances time series forecasting by improving TSFM adaptability using reinforcement finetuning for better accuracy and generalization.
Probabilistic Transformer for Advanced Time Series Modeling
Discover the ST-PT framework enhancing time series forecasting with probabilistic transformers for robust, adaptable, and interpretable models.
Zero-Shot Time Series Models for Sparse Enrolment Forecasting
Discover how zero-shot time series models improve enrolment forecasts in higher education despite limited data and structural shifts.
DecompKAN: Accurate Long-Term Time Series Forecasting Model
Discover DecompKAN, a transparent and accurate model for long-term time series forecasting with trend decomposition and patch-wise analysis.