Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.
Background Primary healthcare is crucial for universal health coverage in low- and middle-income countries. While research on ...
Abstract: Generalized linear models (GLMs) are a widely utilized family of machine learning models in real-world applications. As data size increases, it is essential to perform efficient distributed ...
Based is an efficient architecture inspired by recovering attention-like capabilities (i.e., recall). We do so by combining 2 simple ideas: Short sliding window attention (e.g., window size 64), to ...
Abstract: The decoding of binary random linear codes for packet erasures relies on receivers collecting a sufficient number of error-free coded packets for the reconstruction of a transmitted message.
The Cowboys only have one game left against a team currently above them in the NFC standings (Detroit in Week 14), limiting their opportunities to gain immediate ground in the wild-card race. But IF ...
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