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ICML
2005
IEEE
14 years 9 months ago
The cross entropy method for classification
We consider support vector machines for binary classification. As opposed to most approaches we use the number of support vectors (the "L0 norm") as a regularizing term ...
Shie Mannor, Dori Peleg, Reuven Y. Rubinstein
MICCAI
2005
Springer
14 years 9 months ago
Cross Entropy: A New Solver for Markov Random Field Modeling and Applications to Medical Image Segmentation
This paper introduces a novel solver, namely cross entropy (CE), into the MRF theory for medical image segmentation. The solver, which is based on the theory of rare event simulati...
Jue Wu, Albert C. S. Chung
WCE
2007
13 years 10 months ago
An Adaptive Cross-EntropyTuning of the PID Control for Robot Manipulators
— This paper proposes a population based adaptive tuning for dynamic position control of robot manipulators. The dynamic behavior of a robot manipulator is highly nonlinear, and ...
Mehmet Bodur
GECCO
2007
Springer
154views Optimization» more  GECCO 2007»
14 years 3 months ago
Cross entropy and adaptive variance scaling in continuous EDA
This paper deals with the adaptive variance scaling issue in continuous Estimation of Distribution Algorithms. A phenomenon is discovered that current adaptive variance scaling me...
Yunpeng Cai, Xiaomin Sun, Hua Xu, Peifa Jia
ENGL
2008
122views more  ENGL 2008»
13 years 8 months ago
Real-Time Population Based Optimization for Adaptive Motion Control of Robot Manipulator
A population based real-time optimization method for tuning dynamic position control parameters of robot manipulators has been proposed. Conventionally, the positional control is a...
Mehmet Bodur