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IJCNN
2007
IEEE
16 years 1 months ago
Theta Neuron Networks: Robustness to Noise in Embedded Applications
- In this paper, we train a one-layer Theta Neuron Network (TNN) to perform a Braitenberg obstacle avoidance algorithm on a Khepera robot. The Theta neuron model is more biological...
Sam McKennoch, Preethi Sundaradevan, Linda G. Bush...
ECAI
2004
Springer
16 years 3 days ago
Towards Efficient Learning of Neural Network Ensembles from Arbitrarily Large Datasets
Advances in data collection technologies allow accumulation of large and high dimensional datasets and provide opportunities for learning high quality classification and regression...
Kang Peng, Zoran Obradovic, Slobodan Vucetic
INFOCOM
1999
IEEE
15 years 11 months ago
Predictive Distance-Based Mobility Management for PCS Networks
This paper presents a mobile tracking scheme that exploits the predictability of user mobility patterns in wireless PCS networks. Instead of the constant velocity fluid-flow or the...
Ben Liang, Zygmunt J. Haas
SENSYS
2006
ACM
16 years 21 days ago
ATPC: adaptive transmission power control for wireless sensor networks
Extensive empirical studies presented in this paper confirm that the quality of radio communication between low power sensor devices varies significantly with time and environme...
Shan Lin, Jingbin Zhang, Gang Zhou, Lin Gu, John A...
ECSQARU
2007
Springer
16 years 27 days ago
Logical Compilation of Bayesian Networks with Discrete Variables
This paper presents a new approach to inference in Bayesian networks. The principal idea is to encode the network by logical sentences and to compile the resulting encoding into an...
Michael Wachter, Rolf Haenni