Abstract: Model-driven machine learning for signal detection in the physical layer of mobile communication systems combines well-known detector structures with learned parameters. Recent work has ...
Abstract: This study aims to compare the performance of five different models for spelling error detection, a crucial task in natural language processing. In this ...
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