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EDM
2009
116views Data Mining» more  EDM 2009»
14 years 7 months ago
Determining the Significance of Item Order In Randomized Problem Sets
Researchers who make tutoring systems would like to know which sequences of educational content lead to the most effective learning by their students. The majority of data collecte...
Zachary A. Pardos, Neil T. Heffernan
CVPR
2010
IEEE
15 years 7 days ago
Co-clustering of Image Segments Using Convex Optimization Applied to EM Neuronal Reconstruction
This paper addresses the problem of jointly clustering two segmentations of closely correlated images. We focus in particular on the application of reconstructing neuronal structu...
Shiv Vitaladevuni, Ronen Basri
IPPS
2007
IEEE
15 years 4 months ago
A Near-optimal Solution for the Heterogeneous Multi-processor Single-level Voltage Setup Problem
A heterogeneous multi-processor (HeMP) system consists of several heterogeneous processors, each of which is specially designed to deliver the best energy-saving performance for a...
Tai-Yi Huang, Yu-Che Tsai, Edward T.-H. Chu
ICCD
2008
IEEE
133views Hardware» more  ICCD 2008»
15 years 6 months ago
Reliability-aware Dynamic Voltage Scaling for energy-constrained real-time embedded systems
— The Dynamic Voltage Scaling (DVS) technique is the basis of numerous state-of-the-art energy management schemes proposed for real-time embedded systems. However, recent researc...
Baoxian Zhao, Hakan Aydin, Dakai Zhu
ICMLA
2004
14 years 11 months ago
A new discrete binary particle swarm optimization based on learning automata
: The particle swarm is one of the most powerful methods for solving global optimization problems. This method is an adaptive algorithm based on social-psychological metaphor. A po...
Reza Rastegar, Mohammad Reza Meybodi, Kambiz Badie