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We present the Stanford Question Answering Dataset (SQuAD), a new reading comprehension dataset consisting of 100,000+ questions… Expand Scikit-learn is a Python module integrating a wide range of state-of-the-art machine learning algorithms for medium-scale… Expand Geo-replicated, distributed data stores that support complex online applications, such as social networks, must provide an… Expand Mixture modeling is a widely applied data analysis technique used to identify unobserved heterogeneity in a population. Despite… Expand The mixed logit model is considered to be the most promising state of the art discrete choice model currently available… Expand The tradeoffs between consistency, performance, and availability are well understood. Traditionally, however, designers of… Expand Scalable shared-memory multiprocessors distribute memory among the processors and use scalable interconnection networks to… Expand The memory consistency model of a system affects performance, programmability, and portability. We aim to describe memory… Expand Relaxed memory consistency models, such as release consistency, were introduced in order to reduce the impact of remote memory… Expand "A new edition of the definitive guide to logistic regression modeling for health science and other applicationsThis thoroughly… Expand