407 search results - page 12 / 82 » Query Estimation by Adaptive Sampling |
AAAI
2008
14 years 11 months ago
2008
Off-policy reinforcement learning is aimed at efficiently reusing data samples gathered in the past, which is an essential problem for physically grounded AI as experiments are us...
APWEB
2006
Springer
15 years 1 months ago
2006
Springer
The goal of distributed information retrieval is to support effective searching over multiple document collections. For efficiency, queries should be routed to only those collectio...
SIGMOD
1998
ACM
15 years 1 months ago
1998
ACM
In large data recording and warehousing environments, it is often advantageous to provide fast, approximate answers to queries, whenever possible. Before DBMSs providing highly-ac...
ICDE
2007
IEEE
15 years 3 months ago
2007
IEEE
Most database query optimizers use cost models to identify good query execution plans. Inaccuracies in the cost models can cause query optimizers to select poor plans. In this pap...
PAMI
2010
14 years 7 months ago
2010
In this paper, we present a new Adaptive Scale Kernel Consensus (ASKC) robust estimator as a generalization of the popular and state-of-the-art robust estimators such as RANSAC (R...