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101
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ICML
2010
IEEE
14 years 12 months ago
Gaussian Process Optimization in the Bandit Setting: No Regret and Experimental Design
Many applications require optimizing an unknown, noisy function that is expensive to evaluate. We formalize this task as a multiarmed bandit problem, where the payoff function is ...
Niranjan Srinivas, Andreas Krause, Sham Kakade, Ma...
105
Voted
FOCS
2008
IEEE
15 years 5 months ago
What Can We Learn Privately?
Learning problems form an important category of computational tasks that generalizes many of the computations researchers apply to large real-life data sets. We ask: what concept ...
Shiva Prasad Kasiviswanathan, Homin K. Lee, Kobbi ...
88
Voted
GECCO
2000
Springer
122views Optimization» more  GECCO 2000»
15 years 2 months ago
Genetic Programming with Statically Scoped Local Variables
This paper presents an extension to genetic programming to allow the evolution of programs containing local variables with static scope which obey the invariant that all variables...
Evan Kirshenbaum
VISUALIZATION
2002
IEEE
15 years 3 months ago
Level-Set Segmentation From Multiple Non-Uniform Volume Datasets
Typically 3-D MR and CT scans have a relatively high resolution in the scanning X;Y plane, but much lower resolution in the axial Z direction. This non-uniform sampling of an obje...
Ken Museth, David E. Breen, Leonid Zhukov, Ross T....
JCIT
2010
190views more  JCIT 2010»
14 years 5 months ago
Application of Feature Extraction Method in Customer Churn Prediction Based on Random Forest and Transduction
With the development of telecom business, customer churn prediction becomes more and more important. An outstanding issue in customer churn prediction is high dimensional problem....
Yihui Qiu, Hong Li