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GECCO
2010
Springer
162views Optimization» more  GECCO 2010»
15 years 11 months ago
Heuristics for sampling repetitions in noisy landscapes with fitness caching
For many large-scale combinatorial search/optimization problems, meta-heuristic algorithms face noisy objective functions, coupled with computationally expensive evaluation times....
Forrest Stonedahl, Susa H. Stonedahl
180
Voted
EDBT
2009
ACM
110views Database» more  EDBT 2009»
15 years 10 months ago
A sampling approach for XML query selectivity estimation
As the Extensible Markup Language (XML) rapidly establishes itself as the de facto standard for presenting, storing, and exchanging data on the Internet, large volume of XML data ...
Cheng Luo, Zhewei Jiang, Wen-Chi Hou, Feng Yu, Qia...
168
Voted
SIGGRAPH
1998
ACM
15 years 10 months ago
A Perceptually Based Adaptive Sampling Algorithm
A perceptually based approach for selecting image samples has been developed. An existing image processing vision model has been extended to handle color and has been simplified ...
Mark R. Bolin, Gary W. Meyer
SDM
2010
SIAM
195views Data Mining» more  SDM 2010»
15 years 7 months ago
Adaptive Informative Sampling for Active Learning
Many approaches to active learning involve periodically training one classifier and choosing data points with the lowest confidence. An alternative approach is to periodically cho...
Zhenyu Lu, Xindong Wu, Josh Bongard
155
Voted
WSC
2004
15 years 7 months ago
Function-Approximation-Based Importance Sampling for Pricing American Options
Monte Carlo simulation techniques that use function approximations have been successfully applied to approximately price multi-dimensional American options. However, for many pric...
Nomesh Bolia, Sandeep Juneja, Paul Glasserman