Fixing typos
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@ -55,9 +55,7 @@ The central idea behind MayBMS is a practical implementation of Probabilistic C-
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#### Sprout (Oxford)
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Sprout grew out of the MayBMS project, and has functionally replaced it. It uses a similar data model, but work on sprout has focused largely on optimizing query evaluation. In particular, much of the work involves clever tricks for making it easier/faster to compute reliable approximations of boolean formulas -- the lifeblood of probabilistic databases.
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; The work on sprout has focused largely on optimizing query evaluation, ain
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Sprout grew out of the MayBMS project, and has functionally replaced it. It uses a similar data model, but work on sprout has focused largely on optimizing query evaluation. In particular, much of the work involves clever tricks for making it easier/faster to compute reliable approximations of boolean formulas -- the main bottleneck in most probabilistic database computations.
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* [Approximate Confidence Computation in Probabilistic Databases](http://ieeexplore.ieee.org/xpl/login.jsp?tp=&arnumber=5447826)
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* [SPROUT: Lazy vs. Eager Query Plans for Tuple-Independent Probabilistic Databases](http://ieeexplore.ieee.org/xpl/login.jsp?tp=&arnumber=4812442)
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