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ICML
2006
IEEE
16 years 7 months ago
Pareto optimal linear classification
We consider the problem of choosing a linear classifier that minimizes misclassification probabilities in two-class classification, which is a bi-criterion problem, involving a tr...
Seung-Jean Kim, Alessandro Magnani, Sikandar Samar...
DATE
2009
IEEE
119views Hardware» more  DATE 2009»
16 years 1 months ago
Performance optimal speed control of multi-core processors under thermal constraints
Abstract—Advances in chip-multiprocessor processing capabilities has led to an increased power consumption and temperature hotspots. Maintaining the on-chip temperature is import...
Vinay Hanumaiah, Sarma B. K. Vrudhula, Karam S. Ch...
GECCO
2009
Springer
200views Optimization» more  GECCO 2009»
16 years 1 months ago
Optimization of the trading rule in foreign exchange using genetic algorithm
The generation of profitable trading rules for Foreign Exchange (FX) investments is a difficult but popular problem. The use of Machine Learning in this problem allows us to obtai...
Akinori Hirabayashi, Claus de Castro Aranha, Hitos...
ICASSP
2008
IEEE
16 years 1 months ago
Discriminative learning for optimizing detection performance in spoken language recognition
We propose novel approaches for optimizing the detection performance in spoken language recognition. Two objective functions are designed to directly relate model parameters to tw...
Donglai Zhu, Haizhou Li, Bin Ma, Chin-Hui Lee
ICC
2008
IEEE
117views Communications» more  ICC 2008»
16 years 1 months ago
Proactive Power Optimization of Sensor Networks
—We propose a reduced-complexity genetic algorithm for dynamic deployment of resource constrained multi-hop mobile sensor networks. The goal of this paper is to achieve optimal c...
Rahul Khanna, Huaping Liu, Hsiao-Hwa Chen