Single-Layer MeMo as a Randomized Hamming-Kernel Classifier
This work compares single-layer MeMo with classical baselines and shows that it can offer a useful trade-off among predictive accuracy, memory, and throughput, particularly on a GPU, where its matrix operations can be parallelized.
Alessandro Straziota
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