137 search results - page 21 / 28 » Revisiting stochastic loss networks: structures and algorith... |
NIPS
1998
14 years 11 months ago
1998
Inference is a key component in learning probabilistic models from partially observable data. When learning temporal models, each of the many inference phases requires a complete ...
CORR
2008
Springer
14 years 9 months ago
2008
Springer
: Network intrusion detection sensors are usually built around low level models of network traffic. This means that their output is of a similarly low level and as a consequence, ...
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BMCBI
2008
14 years 9 months ago
2008
Background: Machine-learning tools have gained considerable attention during the last few years for analyzing biological networks for protein function prediction. Kernel methods a...
INFOCOM
2009
IEEE
15 years 4 months ago
2009
IEEE
—The typical state-of-the-art routing algorithms for delay tolerant networks are based on best next hop hill-climbing heuristics in order to achieve throughput and efficiency. T...
INFOCOM
2009
IEEE
15 years 4 months ago
2009
IEEE
—Dynamic spectrum access has been proposed as a means to share scarce radio resources, and requires devices to follow protocols that use resources in a proper, disciplined manner...