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ESANN
2006
15 years 5 months ago
Optimal design of hierarchical wavelet networks for time-series forecasting
The purpose of this study is to identify the Hierarchical Wavelet Neural Networks (HWNN) and select important input features for each sub-wavelet neural network automatically. Base...
Yuehui Chen, Bo Yang, Ajith Abraham
NEUROSCIENCE
2001
Springer
15 years 9 months ago
Biological Grounding of Recruitment Learning and Vicinal Algorithms in Long-Term Potentiation
Biological networks are capable of gradual learning based on observing a large number of exemplars over time as well as of rapidly memorizing specific events as a result of a sin...
Lokendra Shastri
GLOBECOM
2006
IEEE
15 years 10 months ago
Hierarchical Iterative Algorithm for a Coupled Constrained OSNR Nash Game
— This paper develops a hierarchical iterative OSNR algorithm based on a game theory framework. A Nash game is formulated between channels with channel utility related to maximiz...
Lacra Pavel
ICDE
2005
IEEE
115views Database» more  ICDE 2005»
16 years 5 months ago
Snapshot Queries: Towards Data-Centric Sensor Networks
In this paper we introduce the idea of snapshot queries for energy efficient data acquisition in sensor networks. Network nodes generate models of their surrounding environment th...
Yannis Kotidis
DMSN
2005
ACM
15 years 6 months ago
Timely data delivery in sensor networks using whirlpool
In this paper, we introduce a rotating interrogation technique for sensor networks called Whirlpool. Whirlpool provides opportunities to optimize data delivery in time-critical mo...
Divyasheel Sharma, Vladimir Zadorozhny, Panos K. C...