Abstract: The fixed path Min-Sum (FMS) algorithm efficiently decodes non-binary LDPC codes with low/moderate code rates, but suffers significant performance degradation for high code rates. This paper ...

For all 4 algorithms, more balanced classes (multiplier: 0.93-0.96 for a 1% increase in minority class proportion) were associated with decreased sample size. Other characteristics varied in ...

Abstract: Feature selection is one of the major challenges in machine learning problems. It reduces the number of features and improves performance by removing the irrelevant and unnecessary ones.