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HIPEAC
2009
Springer
15 years 11 months ago
Adapting Application Mapping to Systematic Within-Die Process Variations on Chip Multiprocessors
Process variations, which lead to timing and power variations across identically-designed components, have been identified as one of the key future design challenges by the semico...
Yang Ding, Mahmut T. Kandemir, Mary Jane Irwin, Pa...
PADS
2003
ACM
15 years 9 months ago
HLA-based Adaptive Distributed Simulation of Wireless Mobile Systems
Wireless networks’ models differ from wired ones at least in the innovative dynamic effects of host-mobility and open-broadcast nature of the wireless medium. Topology changes d...
Luciano Bononi, Gabriele D'Angelo, Lorenzo Donatie...
NPL
2006
172views more  NPL 2006»
15 years 4 months ago
Adapting RBF Neural Networks to Multi-Instance Learning
In multi-instance learning, the training examples are bags composed of instances without labels, and the task is to predict the labels of unseen bags through analyzing the training...
Min-Ling Zhang, Zhi-Hua Zhou
SENSYS
2010
ACM
15 years 2 months ago
Meeting ecologists' requirements with adaptive data acquisition
Ecologists instrument ecosystems to collect time series representing the evolution in time and space of relevant abiotic and biotic factors. Sensor networks promise to improve on ...
Marcus Chang, Philippe Bonnet
ICML
2005
IEEE
16 years 5 months ago
Supervised dimensionality reduction using mixture models
Given a classification problem, our goal is to find a low-dimensional linear transformation of the feature vectors which retains information needed to predict the class labels. We...
Sajama, Alon Orlitsky