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» Studies in Solution Sampling
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ECML
2007
Springer
14 years 4 months ago
Avoiding Boosting Overfitting by Removing Confusing Samples
Boosting methods are known to exhibit noticeable overfitting on some datasets, while being immune to overfitting on other ones. In this paper we show that standard boosting algorit...
Alexander Vezhnevets, Olga Barinova
SIGMOD
1999
ACM
87views Database» more  SIGMOD 1999»
14 years 2 months ago
On Random Sampling over Joins
A major bottleneck in implementing sampling as a primitive relational operation is the ine ciency ofsampling the output of a query. It is not even known whether it is possible to ...
Surajit Chaudhuri, Rajeev Motwani, Vivek R. Narasa...
ACMICEC
2007
ACM
103views ECommerce» more  ACMICEC 2007»
14 years 2 months ago
Sampling of information goods
With the development of information technology and the emergence of electronic market places, great business opportunities are created with reduced spatial restraints, lowered sea...
Chong (Alex) Wang, Xiaoquan (Michael) Zhang
INFOCOM
2011
IEEE
13 years 1 months ago
RelSamp: Preserving application structure in sampled flow measurements
—The Internet has significantly evolved in the number and variety of applications. Network operators need mechanisms to constantly monitor and study these applications. Given mo...
Myungjin Lee, Mohammad Y. Hajjat, Ramana Rao Kompe...
INFOCOM
2009
IEEE
14 years 4 months ago
Respondent-Driven Sampling for Characterizing Unstructured Overlays
—This paper presents Respondent-Driven Sampling (RDS) as a promising technique to derive unbiased estimates of node properties in unstructured overlay networks such as Gnutella. ...
Amir Hassan Rasti, Mojtaba Torkjazi, Reza Rejaie, ...