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SEMWEB
2007
Springer
14 years 4 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»
13 years 10 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»
13 years 5 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
14 years 12 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
14 years 10 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...