Synthetic flight data generated by TVAE and Gaussian Copula models supports flight delay prediction models with accuracy comparable to real data.
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Empirical comparison of angle and amplitude encoding in VQCs on Wine and Diabetes datasets shows rotational gate selection in the encoding layer changes accuracy by 10-41 percent and treats embedding as a tunable hyperparameter.
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Synthetic Flight Data Generation Using Generative Models
Synthetic flight data generated by TVAE and Gaussian Copula models supports flight delay prediction models with accuracy comparable to real data.
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Evaluating Angle and Amplitude Encoding Strategies for Variational Quantum Machine Learning: their impact on model's accuracy
Empirical comparison of angle and amplitude encoding in VQCs on Wine and Diabetes datasets shows rotational gate selection in the encoding layer changes accuracy by 10-41 percent and treats embedding as a tunable hyperparameter.