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» Approaching Optimality for Solving SDD Linear Systems
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80
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EOR
2006
73views more  EOR 2006»
14 years 10 months ago
Path relinking and GRG for artificial neural networks
Artificial neural networks (ANN) have been widely used for both classification and prediction. This paper is focused on the prediction problem in which an unknown function is appr...
Abdellah El-Fallahi, Rafael Martí, Leon S. ...
ICML
1999
IEEE
15 years 11 months ago
Least-Squares Temporal Difference Learning
Excerpted from: Boyan, Justin. Learning Evaluation Functions for Global Optimization. Ph.D. thesis, Carnegie Mellon University, August 1998. (Available as Technical Report CMU-CS-...
Justin A. Boyan
87
Voted
ICASSP
2008
IEEE
15 years 4 months ago
Non-iterative multiuser MIMO coordinated beamforming with limited feedforward
This paper proposes non-iterative coordinated beamforming algorithms for a multiuser MIMO (multiple input multiple output) system with multiple antennas at the transmitter and mul...
Chan-Byoung Chae, Takao Inoue, Robert W. Heath Jr....
84
Voted
GECCO
2000
Springer
138views Optimization» more  GECCO 2000»
15 years 1 months ago
Domain Knowledge and Representation in Genetic Algorithms for Real World Scheduling Problems
This paper discusses the issues that arise in the design and implementation of an industrialstrength evolutionary-based system for the optimization of the monthly work schedules f...
Ioannis T. Christou, Armand Zakarian
IPPS
1999
IEEE
15 years 2 months ago
Large Scale Simulation of Particulate Flows
Simulations of particles in fluid flows are of great interest to numerous industries using sedimentation, fluidization, lubricated transport, and hydraulic fracturing of hydrocarb...
Ahmed H. Sameh, Vivek Sarin