Abstract: Fuzzy support vector machine is a versatile machine learning technique for addressing binary classification and regression challenges. However, it still faces problems related to borderline ...
Abstract: Different technologies, including downdraft gasification technology, have been explored in converting biomass feedstock to generate power. Effective biomass utilization is premised on its ...
turboquant-py implements the TurboQuant and QJL vector quantization algorithms from Google Research (ICLR 2026 / AISTATS 2026). It compresses high-dimensional floating-point vectors to 1-4 bits per ...