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AUSAI
2008
Springer
13 years 9 months ago
Using Gaussian Processes to Optimize Expensive Functions
The task of finding the optimum of some function f(x) is commonly accomplished by generating and testing sample solutions iteratively, choosing each new sample x heuristically on t...
Marcus R. Frean, Phillip Boyle
SIGMOD
2005
ACM
220views Database» more  SIGMOD 2005»
14 years 7 months ago
Sampling Algorithms in a Stream Operator
Complex queries over high speed data streams often need to rely on approximations to keep up with their input. The research community has developed a rich literature on approximat...
Theodore Johnson, S. Muthukrishnan, Irina Rozenbau...

Publication
222views
14 years 4 months ago
Algorithms and Bounds for Rollout Sampling Approximate Policy Iteration
Abstract: Several approximate policy iteration schemes without value functions, which focus on policy representation using classifiers and address policy learning as a supervis...
Christos Dimitrakakis, Michail G. Lagoudakis
ACMICEC
2007
ACM
103views ECommerce» more  ACMICEC 2007»
13 years 11 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
EUROPAR
2010
Springer
13 years 8 months ago
Sampling Bias in BitTorrent Measurements
Abstract. Real-world measurements play an important role in understanding the characteristics and in improving the operation of BitTorrent, which is currently a popular Internet ap...
Boxun Zhang, Alexandru Iosup, Johan A. Pouwelse, D...