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NIPS
2000
15 years 7 months ago
Active Learning for Parameter Estimation in Bayesian Networks
Bayesian networks are graphical representations of probability distributions. In virtually all of the work on learning these networks, the assumption is that we are presented with...
Simon Tong, Daphne Koller
JPDC
2000
106views more  JPDC 2000»
15 years 6 months ago
Dual of a Complete Graph as an Interconnection Network
A new class of interconnection networks, the hypernetworks, has been proposed recently. Hypernetworks are characterized by hypergraphs. Compared with point-to-point networks, they...
Si-Qing Zheng, Jie Wu
DCOSS
2005
Springer
15 years 12 months ago
Multi-query Optimization for Sensor Networks
The widespread dissemination of small-scale sensor nodes has sparked interest in a powerful new database abstraction for sensor networks: Clients “program” the sensors through ...
Niki Trigoni, Yong Yao, Alan J. Demers, Johannes G...
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PDCAT
2005
Springer
15 years 11 months ago
On-Line Routing in WDM-TDM Switched Optical Mesh Networks
This paper considers the on-line traffic grooming problem in WDM-TDM switched optical mesh networks without wavelength conversion capability. The objective is to efficiently rou...
Arun Vishwanath, Weifa Liang
IWAN
2000
Springer
15 years 10 months ago
An Approach for Heterogeneous Video Multicast Using Active Networking
Abstract. We present a framework for heterogeneous video multicasting, considering an active network in which active nodes can filter the video stream to satisfy different quality ...
Héctor Akamine, Naoki Wakamiya, Masayuki Mu...