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» Dynamic Sample Selection for Approximate Query Processing
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KDD
2009
ACM
227views Data Mining» more  KDD 2009»
14 years 9 months ago
Efficiently learning the accuracy of labeling sources for selective sampling
Many scalable data mining tasks rely on active learning to provide the most useful accurately labeled instances. However, what if there are multiple labeling sources (`oracles...
Pinar Donmez, Jaime G. Carbonell, Jeff Schneider
DASFAA
2009
IEEE
134views Database» more  DASFAA 2009»
14 years 3 months ago
Selectivity Estimation for Exclusive Query Translation in Deep Web Data Integration
In Deep Web data integration, some Web database interfaces express exclusive predicates of the form Qe = Pi(Pi ∈ P1, P2, . . . , Pm), which permits only one predicate to be selec...
Fangjiao Jiang, Weiyi Meng, Xiaofeng Meng
PKDD
2010
Springer
179views Data Mining» more  PKDD 2010»
13 years 6 months ago
Gaussian Processes for Sample Efficient Reinforcement Learning with RMAX-Like Exploration
Abstract. We present an implementation of model-based online reinforcement learning (RL) for continuous domains with deterministic transitions that is specifically designed to achi...
Tobias Jung, Peter Stone
CVPR
2010
IEEE
12 years 5 months ago
Abrupt motion tracking via adaptive stochastic approximation Monte Carlo sampling
Robust tracking of abrupt motion is a challenging task in computer vision due to the large motion uncertainty. In this paper, we propose a stochastic approximation Monte Carlo (...
Xiuzhuang Zhou and Yao Lu
VLDB
2001
ACM
114views Database» more  VLDB 2001»
14 years 26 days ago
Distinct Sampling for Highly-Accurate Answers to Distinct Values Queries and Event Reports
Estimating the number of distinct values is a wellstudied problem, due to its frequent occurrence in queries and its importance in selecting good query plans. Previous work has sh...
Phillip B. Gibbons