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TNN
2008
181views more  TNN 2008»
13 years 9 months ago
Optimized Approximation Algorithm in Neural Networks Without Overfitting
In this paper, an optimized approximation algorithm (OAA) is proposed to address the overfitting problem in function approximation using neural networks (NNs). The optimized approx...
Yinyin Liu, Janusz A. Starzyk, Zhen Zhu
PRL
2000
182views more  PRL 2000»
13 years 9 months ago
Bayesian MLP neural networks for image analysis
We demonstrate the advantages of using Bayesian multi layer perceptron (MLP) neural networks for image analysis. The Bayesian approach provides consistent way to do inference by c...
Aki Vehtari, Jouko Lampinen
ISPD
2006
ACM
103views Hardware» more  ISPD 2006»
14 years 3 months ago
High accurate pattern based precondition method for extremely large power/ground grid analysis
In this paper, we propose more accurate power/ground network circuit model, which consider both via and ground bounce effects to improve the performance estimation accuracy of on-...
Jin Shi, Yici Cai, Sheldon X.-D. Tan, Xianlong Hon...
EWSN
2004
Springer
14 years 8 months ago
Context-Aware Sensors
Wireless sensor networks typically consist of a large number of sensor nodes embedded in a physical space. Such sensors are low-power devices that are primarily used for monitoring...
Eiman Elnahrawy, Badri Nath
PERCOM
2005
ACM
14 years 8 months ago
Towards an Intrusion Detection System for Battery Exhaustion Attacks on Mobile Computing Devices
Mobile computers are subject to a unique form of denial of service attack known as a battery exhaustion attack, in which an attacker attempts to rapidly drain the battery of the d...
Daniel C. Nash, Thomas L. Martin, Dong S. Ha, Mich...