A quantum-classical regression framework developed that combines the feature selection in the form of a Random Forest in a hybrid approach, dimensionality reduction in the mode of Principal Component Analysis (PCA), and predicting in the form of a Variational Quantum Circuit (VQC) is suggested.
Rashmi S. Nair, Pankaj Chandre, Shahin Makubhai et al.· Frontiers in Artificial Inte...· 0 citations
The article compares the performance of traditional machine learning techniques with recent deep learning architectures such as CNNs, RNNs, TCNs, and Transformers, based on accuracy, computational cost, and suitability for real-world disorderly plotting.
Disha Deotale, Madhushi Verma, P. Suresh et al.· Discover Artificial Intellig...· 0 citations
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