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CEC
2008
IEEE
15 years 6 months ago
A contour method in population-based stochastic algorithms
—Inspired by the contours in topography, this paper proposes a contour method for the population-based stochastic algorithms to solve the problems with continuous variables. Rely...
Ying Lin, Jun Zhang, Lu-kai Lan
VTC
2006
IEEE
115views Communications» more  VTC 2006»
15 years 5 months ago
Suboptimal Maximum Likelihood Detection Using Gradient-based Algorithm for MIMO Channels
Abstract— This paper proposes a suboptimal maximum likelihood detection (MLD) algorithm for multiple-input multipleoutput (MIMO) communications. The proposed algorithm regards tr...
Thet Htun Khine, Kazuhiko Fukawa, Hiroshi Suzuki
IPPS
2003
IEEE
15 years 5 months ago
MIP Formulation for Robust Resource Allocation in Dynamic Real-Time Systems
Real-time systems usually operate in an environment that changes continuously. These changes cause the performance of the system to vary during run time. An allocation of resource...
Sethavidh Gertphol, Viktor K. Prasanna
ICDM
2007
IEEE
132views Data Mining» more  ICDM 2007»
15 years 6 months ago
Learning What Makes a Society Tick
We present a machine learning methodology (models, algorithms, and experimental data) to discovering the agent dynamics that drive the evolution of the social groups in a communit...
Hung-Ching Chen, Mark K. Goldberg, Malik Magdon-Is...
ICML
2003
IEEE
16 years 16 days ago
Learning on the Test Data: Leveraging Unseen Features
This paper addresses the problem of classification in situations where the data distribution is not homogeneous: Data instances might come from different locations or times, and t...
Benjamin Taskar, Ming Fai Wong, Daphne Koller