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FLAIRS
2004
15 years 5 months ago
Iterative Improvement of Neural Classifiers
A new objective function for neural net classifier design is presented, which has more free parameters than the classical objective function. An iterative minimization technique f...
Jiang Li, Michael T. Manry, Li-min Liu, Changhua Y...
WASA
2010
Springer
288views Algorithms» more  WASA 2010»
15 years 2 months ago
Approaching the Optimal Schedule for Data Aggregation in Wireless Sensor Networks
Abstract. Due to the large-scale ad hoc deployments and wireless interference, data aggregation is a fundamental but time consuming task in wireless sensor networks. This paper foc...
Pei Wang, Yuan He, Liusheng Huang
CORR
2011
Springer
198views Education» more  CORR 2011»
14 years 8 months ago
Decentralized Online Learning Algorithms for Opportunistic Spectrum Access
—The fundamental problem of multiple secondary users contending for opportunistic spectrum access over multiple channels in cognitive radio networks has been formulated recently ...
Yi Gai, Bhaskar Krishnamachari
ADHOC
2007
108views more  ADHOC 2007»
15 years 4 months ago
Hop-distance based addressing and routing for dense sensor networks without location information
One of the most challenging problems in wireless sensor networks is the design of scalable and efficient routing algorithms without location information. The use of specialized ha...
Serdar Vural, Eylem Ekici
INFOCOM
2009
IEEE
15 years 11 months ago
Joint Transport, Routing and Spectrum Sharing Optimization for Wireless Networks with Frequency-Agile Radios
—In this paper, we describe and analyze the design of a joint Transport, Routing and Spectrum Sharing (TRSS) optimization algorithm for wireless networks with frequencyagile radi...
Zhenhua Feng, Yaling Yang