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» Convergent design of piecewise linear neural networks
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NN
2008
Springer
143views Neural Networks» more  NN 2008»
13 years 7 months ago
A batch ensemble approach to active learning with model selection
Optimally designing the location of training input points (active learning) and choosing the best model (model selection) are two important components of supervised learning and h...
Masashi Sugiyama, Neil Rubens
INFOCOM
2000
IEEE
13 years 12 months ago
Energy Conserving Routing in Wireless Ad-hoc Networks
— An ad-hoc network of wireless static nodes is considered as it arises in a rapidly deployed, sensor based, monitoring system. Information is generated in certain nodes and need...
Jae-Hwan Chang, Leandros Tassiulas
CSB
2005
IEEE
145views Bioinformatics» more  CSB 2005»
14 years 1 months ago
Classification Methods for HIV-1 Medicated Neuronal Damage
HIV-1-associated dementia (HAD) is the most devastating disease happened in the central nervous system of AIDS patients. Neuronal damage, the early indicator of HAD, under differe...
Mengjun Wang, Jialin Zheng, Zhengxin Chen, Yong Sh...
GECCO
2003
Springer
158views Optimization» more  GECCO 2003»
14 years 23 days ago
Active Control of Thermoacoustic Instability in a Model Combustor with Neuromorphic Evolvable Hardware
Continuous Time Recurrent Neural Networks (CTRNNs) have previously been proposed as an enabling paradigm for evolving analog electrical circuits to serve as controllers for physica...
John C. Gallagher, Saranyan Vigraham
HPCA
2001
IEEE
14 years 8 months ago
Dynamic Branch Prediction with Perceptrons
This paper presents a new method for branch prediction. The key idea is to use one of the simplest possible neural networks, the perceptron as an alternative to the commonly used ...
Daniel A. Jiménez, Calvin Lin