Scaling Active Search using Linear Similarity Functions

30 Apr 2017 • Sibi Venkatesan • James K. Miller • Jeff Schneider • Artur Dubrawski

Active Search has become an increasingly useful tool in information retrieval problems where the goal is to discover as many target elements as possible using only limited label queries. With the advent of big data, there is a growing emphasis on the scalability of such techniques to handle very large and very complex datasets... (read more)

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