Universal Scaling Laws in Quantum-Probabilistic Machine Learning by Tensor Network: Toward Interpreting Representation and Generalization Powers
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DOI: 10.1088/0256-307x/41/12/120701
Abstract: The interpretation of representations and generalization powers has been a long-standing challenge in the fields of machine learning (ML) and artificial intelligence. This study contributes to understanding the emergence of universal scaling laws in quantum-probabilistic… read more here.
Keywords: scaling laws; generalization powers; generalization; laws quantum ... See more keywords