Signal Interference Cancellation for SMILES-2026. This Python solution uses Rank-1 SVD and Nonlinear modeling, outperforming the baseline by 141% (9.69 dB vs. 4.02 dB)
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Updated
May 3, 2026 - Python
Signal Interference Cancellation for SMILES-2026. This Python solution uses Rank-1 SVD and Nonlinear modeling, outperforming the baseline by 141% (9.69 dB vs. 4.02 dB)
Python implementation of Gourieroux-Jasiak's (2025) mixed causal-noncausal VAR models. Features probabilistic forecasting, nonlinear innovation filtering, and state-dependent IRF analysis for financial time series with explosive dynamics. Enables robust risk assessment and structural analysis of speculative behavior.
tomato-fusarium-disease-progress-modeling
GCE framework for interpretable modeling in cardiac sarcoma survival using machine and deep learning. It captures complex feature relationships to enhance predictive insights and clinical understanding.
House price prediction on the housing dataset: regularized regression, nonlinear feature modeling, and deep learning
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