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AMAI
2004
Springer
15 years 12 months ago
Using the Central Limit Theorem for Belief Network Learning
Learning the parameters (conditional and marginal probabilities) from a data set is a common method of building a belief network. Consider the situation where we have known graph s...
Ian Davidson, Minoo Aminian
LCN
2003
IEEE
15 years 11 months ago
ReInForM: Reliable Information Forwarding Using Multiple Paths in Sensor Networks
Sensor networks are meant for sensing and disseminating information about the environment they sense. The criticality of a sensed phenomenon determines it’s importance to the en...
Budhaditya Deb, Sudeept Bhatnagar, Badri Nath
SENSYS
2003
ACM
15 years 11 months ago
Anchor-free distributed localization in sensor networks
Many sensor network applications require that each node’s sensor stream be annotated with its physical location in some common coordinate system. Manual measurement and configu...
Nissanka B. Priyantha, Hari Balakrishnan, Erik D. ...
WSNA
2003
ACM
15 years 11 months ago
Analysis on the redundancy of wireless sensor networks
Wireless sensor networks consist of a large number of tiny sensors that have only limited energy supply. One of the major challenges in constructing such networks is to maintain l...
Yong Gao, Kui Wu, Fulu Li
INFOCOM
1998
IEEE
15 years 10 months ago
Limited Wavelength Translation in All-Optical WDM Mesh Networks
We analyze limited wavelength translation in all-optical, wavelength division multiplexed (WDM) wraparound mesh networks, where upto W wavelengths, each of which can carry one circ...
Vishal Sharma, Emmanouel A. Varvarigos