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WSC
2008
15 years 4 months ago
The mathematics of continuous-variable simulation optimization
Continuous-variable simulation optimization problems are those optimization problems where the objective function is computed through stochastic simulation and the decision variab...
Sujin Kim, Shane G. Henderson
ML
2002
ACM
140views Machine Learning» more  ML 2002»
15 years 2 months ago
A Probabilistic Framework for SVM Regression and Error Bar Estimation
In this paper, we elaborate on the well-known relationship between Gaussian Processes (GP) and Support Vector Machines (SVM) under some convex assumptions for the loss functions. ...
Junbin Gao, Steve R. Gunn, Chris J. Harris, Martin...
CORR
2012
Springer
235views Education» more  CORR 2012»
13 years 10 months ago
An Incremental Sampling-based Algorithm for Stochastic Optimal Control
Abstract— In this paper, we consider a class of continuoustime, continuous-space stochastic optimal control problems. Building upon recent advances in Markov chain approximation ...
Vu Anh Huynh, Sertac Karaman, Emilio Frazzoli
193
Voted
ICDE
2006
IEEE
158views Database» more  ICDE 2006»
16 years 3 months ago
Space-efficient Relative Error Order Sketch over Data Streams
We consider the problem of continuously maintaining order sketches over data streams with a relative rank error guarantee . Novel space-efficient and one-scan randomised technique...
Ying Zhang, Xuemin Lin, Jian Xu, Flip Korn, Wei Wa...
240
Voted
SIGMOD
2006
ACM
219views Database» more  SIGMOD 2006»
16 years 2 months ago
Modeling skew in data streams
Data stream applications have made use of statistical summaries to reason about the data using nonparametric tools such as histograms, heavy hitters, and join sizes. However, rela...
Flip Korn, S. Muthukrishnan, Yihua Wu