Entropy-Punctured Bloom Filters for Memory-Efficient Machine Learning
Memory-efficient feature representations are increasingly important in machine learning settings where storage, transmission cost, bandwidth, or privacy constraints limit access to raw data. Bloom Filter (BF) encodings provide compact probabilistic representations of engineered features, but their behavior under struct...
J. Cartmell, M. Cardei, Ionut Cardei
· 0 citations