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STOC
2001
ACM
119views Algorithms» more  STOC 2001»
16 years 6 months ago
Private approximation of NP-hard functions
d Abstract] Shai Halevi Robert Krauthgamer Eyal Kushilevitz Kobbi Nissim ? The notion of private approximation was introduced recently by Feigenbaum, Fong, Strauss and Wright. Inf...
Shai Halevi, Robert Krauthgamer, Eyal Kushilevitz,...
TEC
2002
128views more  TEC 2002»
15 years 6 months ago
A framework for evolutionary optimization with approximate fitness functions
It is not unusual that an approximate model is needed for fitness evaluation in evolutionary computation. In this case, the convergence properties of the evolutionary algorithm are...
Yaochu Jin, Markus Olhofer, Bernhard Sendhoff
KDD
2006
ACM
157views Data Mining» more  KDD 2006»
16 years 7 months ago
Using structure indices for efficient approximation of network properties
Statistics on networks have become vital to the study of relational data drawn from areas such as bibliometrics, fraud detection, bioinformatics, and the Internet. Calculating man...
Matthew J. Rattigan, Marc Maier, David Jensen
SIGMOD
2007
ACM
169views Database» more  SIGMOD 2007»
16 years 6 months ago
Scalable approximate query processing with the DBO engine
This paper describes query processing in the DBO database system. Like other database systems designed for ad-hoc, analytic processing, DBO is able to compute the exact answer to ...
Christopher M. Jermaine, Subramanian Arumugam, Abh...
CIKM
2010
Springer
15 years 5 months ago
Fast query expansion using approximations of relevance models
Pseudo-relevance feedback (PRF) improves search quality by expanding the query using terms from high-ranking documents from an initial retrieval. Although PRF can often result in ...
Marc-Allen Cartright, James Allan, Victor Lavrenko...