Structural synergy, defined as the excess predictive power of a joint model over the best additive model, isolates non-additive interaction mechanisms from dependency-driven statistical synergy in complex systems.
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Quantum computers may enable more natural manipulation of Fourier spectra in ML models via the Quantum Fourier Transform, potentially leading to resource-efficient spectral methods.
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From Statistical to Structural Synergy: A Predictability Framework to Quantify the Effects due to High-Order Mechanisms
Structural synergy, defined as the excess predictive power of a joint model over the best additive model, isolates non-additive interaction mechanisms from dependency-driven statistical synergy in complex systems.
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Spectral methods: crucial for machine learning, natural for quantum computers?
Quantum computers may enable more natural manipulation of Fourier spectra in ML models via the Quantum Fourier Transform, potentially leading to resource-efficient spectral methods.