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ENTITY Kernel classifier construction using orthogonal forward selection and boosting with Fisher ratio class separability measure

Kernel classifier construction using orthogonal forward selection and boosting with Fisher ratio class separability measure

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  1. RESEARCH · CL_99682 ·

    Quantum vision models' generalization explained by effective dimension · arXiv research

    A new research paper introduces the concept of "effective dimension" as a unifying principle to explain two previously unexplained phenomena in quantum kernel vision models. The paper demonstrates that both the entangle…