Abstract: The confusion matrix is a key tool for understanding and evaluating models in supervised classification problems. Various matrices are proposed depending on the problem framework: ...
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Frontier decoder for quantum LDPC codes: pruned dynamic programming over boundary states for approximate logical maximum-likelihood decoding of sparse parity-check and detector-error-model matrices.
Sparse Matrix-Vector Multiplication (SpMV) is important in scientific and industrial applications and remains a well-known challenge for modern CPUs due to high ...