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101
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ESA
2008
Springer
136views Algorithms» more  ESA 2008»
15 years 4 months ago
Oblivious Randomized Direct Search for Real-Parameter Optimization
The focus is on black-box optimization of a function f : RN R given as a black box, i. e. an oracle for f-evaluations. This is commonly called direct search, and in fact, most meth...
Jens Jägersküpper
137
Voted
JCIT
2010
190views more  JCIT 2010»
14 years 9 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
127
Voted
SDM
2010
SIAM
195views Data Mining» more  SDM 2010»
15 years 3 months ago
MACH: Fast Randomized Tensor Decompositions
Tensors naturally model many real world processes which generate multi-aspect data. Such processes appear in many different research disciplines, e.g, chemometrics, computer visio...
Charalampos E. Tsourakakis
104
Voted
ICASSP
2011
IEEE
14 years 6 months ago
Complex random matrices and multiple-antenna spectrum sensing
In this paper, we study the eigenvalue-based spectrum sensing techniques for multiple-antenna cognitive radio networks. First, we study the extreme eigenvalue distributions of a c...
Tharmalingam Ratnarajah, Caijun Zhong, Ayse Kortun...
116
Voted
ANOR
2004
122views more  ANOR 2004»
15 years 2 months ago
Call Center Staffing with Simulation and Cutting Plane Methods
We present an iterative cutting plane method for minimizing staffing costs in a service system subject to satisfying acceptable service level requirements over multiple time perio...
Júlíus Atlason, Marina A. Epelman, S...