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138
Voted
NIPS
2000
15 years 5 months ago
2000
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...
133
Voted
JPDC
2000
15 years 3 months ago
2000
A new class of interconnection networks, the hypernetworks, has been proposed recently. Hypernetworks are characterized by hypergraphs. Compared with point-to-point networks, they...
103
Voted
ICC
2000
IEEE
15 years 8 months ago
2000
IEEE
- Resource flexibility is one of the most important requirements in the next generation of mobile communications. Techniques are required to increase the flexibility of the network...
146
Voted
INFOCOM
2000
IEEE
15 years 8 months ago
2000
IEEE
—We address the issue of power-controlled shared channel access in future wireless networks supporting packetized data traffic, beyond the voice-oriented continuous traffic prima...
128
Voted
IDEAL
2000
Springer
15 years 7 months ago
2000
Springer
Observational learning algorithm is an ensemble algorithm where each network is initially trained with a bootstrapped data set and virtual data are generated from the ensemble for ...