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» On Non-Approximability for Quadratic Programs
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CEC
2008
IEEE
14 years 2 months ago
A study on constrained MA using GA and SQP: Analytical vs. finite-difference gradients
— Many deterministic algorithms in the context of constrained optimization require the first-order derivatives, or the gradient vectors, of the objective and constraint function...
Stephanus Daniel Handoko, Chee Keong Kwoh, Yew-Soo...
DATE
2008
IEEE
136views Hardware» more  DATE 2008»
14 years 2 months ago
A Framework of Stochastic Power Management Using Hidden Markov Model
- The effectiveness of stochastic power management relies on the accurate system and workload model and effective policy optimization. Workload modeling is a machine learning proce...
Ying Tan, Qinru Qiu
ICARCV
2008
IEEE
170views Robotics» more  ICARCV 2008»
14 years 2 months ago
Mixed state estimation for a linear Gaussian Markov model
— We consider a discrete-time dynamical system with Boolean and continuous states, with the continuous state propagating linearly in the continuous and Boolean state variables, a...
Argyris Zymnis, Stephen P. Boyd, Dimitry M. Gorine...
ICDM
2008
IEEE
160views Data Mining» more  ICDM 2008»
14 years 2 months ago
Direct Zero-Norm Optimization for Feature Selection
Zero-norm, defined as the number of non-zero elements in a vector, is an ideal quantity for feature selection. However, minimization of zero-norm is generally regarded as a combi...
Kaizhu Huang, Irwin King, Michael R. Lyu
ACSC
2007
IEEE
14 years 2 months ago
Compact Layout of Layered Trees
The standard layered drawing convention for trees in which the vertical placement of a node is given by its level in the tree and each node is centered between its children can le...
Kim Marriott, Peter Sbarski