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» Query Estimation by Adaptive Sampling
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VLDB
2009
ACM
143views Database» more  VLDB 2009»
15 years 9 months ago
Sampling-based estimators for subset-based queries
We consider the problem of using sampling to estimate the result of an aggregation operation over a subset-based SQL query, where a subquery is correlated to an outer query by a NO...
Shantanu Joshi, Christopher M. Jermaine
GECCO
2004
Springer
118views Optimization» more  GECCO 2004»
15 years 2 months ago
Adaptive Sampling for Noisy Problems
Abstract. The usual approach to deal with noise present in many realworld optimization problems is to take an arbitrary number of samples of the objective function and use the samp...
Erick Cantú-Paz
DMSN
2004
ACM
15 years 2 months ago
Adaptive sampling for sensor networks
A distributed data-stream architecture finds application in sensor networks for monitoring environment and activities. In such a network, large numbers of sensors deliver continu...
Ankur Jain, Edward Y. Chang
IOR
2006
163views more  IOR 2006»
14 years 9 months ago
Adaptive Importance Sampling Technique for Markov Chains Using Stochastic Approximation
For a discrete-time finite-state Markov chain, we develop an adaptive importance sampling scheme to estimate the expected total cost before hitting a set of terminal states. This s...
T. P. I. Ahamed, Vivek S. Borkar, S. Juneja
SIGMOD
2004
ACM
118views Database» more  SIGMOD 2004»
15 years 9 months ago
Effective Use of Block-Level Sampling in Statistics Estimation
Block-level sampling is far more efficient than true uniform-random sampling over a large database, but prone to significant errors if used to create database statistics. In this ...
Surajit Chaudhuri, Gautam Das, Utkarsh Srivastava