Technical Perspective: Tapping the Link between Algorithmic Model Counting and Streaming

Author:

Woodruff David P.1

Affiliation:

1. Department of Computer Science at Carnegie Mellon University, Pittsburgh, PA, USA

Publisher

Association for Computing Machinery (ACM)

Subject

General Computer Science

Reference3 articles.

1. Chakraborty , S. , Meel , K.S. , Vardi , M.Y. Algorithmic improvements in approximate counting for probabilistic inference: From linear to logarithmic SAT calls . IJCAI/AAAI , 2016 . Chakraborty, S., Meel, K.S., Vardi, M.Y. Algorithmic improvements in approximate counting for probabilistic inference: From linear to logarithmic SAT calls. IJCAI/AAAI, 2016.

2. Estimating simple functions on the union of data streams

3. The complexity of approximate counting

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