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SEMWEB
2007
Springer
15 years 8 months ago
Sampling and Soundness: Can We Have Both?
Recent research on model counting in CNF formulas has shown that a certain sampling method can yield results that are sound with a provably high probability. The key idea is to ite...
Carla P. Gomes, Jörg Hoffmann, Ashish Sabharw...
BMCBI
2006
165views more  BMCBI 2006»
15 years 2 months ago
Improved variance estimation of classification performance via reduction of bias caused by small sample size
Background: Supervised learning for classification of cancer employs a set of design examples to learn how to discriminate between tumors. In practice it is crucial to confirm tha...
Ulrika Wickenberg-Bolin, Hanna Göransson, M&a...
CORR
2011
Springer
188views Education» more  CORR 2011»
14 years 9 months ago
Towards Unbiased BFS Sampling
Abstract—Breadth First Search (BFS) is a widely used approach for sampling large unknown Internet topologies. Its main advantage over random walks and other exploration technique...
Maciej Kurant, Athina Markopoulou, Patrick Thiran
ECCV
2002
Springer
16 years 3 months ago
Hyperdynamics Importance Sampling
Sequential random sampling (`Markov Chain Monte-Carlo') is a popular strategy for many vision problems involving multimodal distributions over high-dimensional parameter spac...
Cristian Sminchisescu, Bill Triggs
WWW
2005
ACM
16 years 2 months ago
Sampling search-engine results
We consider the problem of efficiently sampling Web search engine query results. In turn, using a small random sample instead of the full set of results leads to efficient approxi...
Aris Anagnostopoulos, Andrei Z. Broder, David Carm...