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» On Timed Models of Gene Networks
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NN
1997
Springer
174views Neural Networks» more  NN 1997»
15 years 10 months ago
Learning Dynamic Bayesian Networks
Bayesian networks are directed acyclic graphs that represent dependencies between variables in a probabilistic model. Many time series models, including the hidden Markov models (H...
Zoubin Ghahramani
JSW
2008
196views more  JSW 2008»
15 years 6 months ago
Providing Data Items with Time Constraints in Multi-Channel Broadcasting Environments
In a mobile computing system, users carrying portable devices can access database services from any location without requiring a fixed position in the networking environment. Some ...
Ding-Jung Chiang, Hwei-Jen Lin, Timothy K. Shih
INFOCOM
2009
IEEE
16 years 1 months ago
Exact Analysis of Latency of Stateless Opportunistic Forwarding
Abstract—Stateless opportunistic forwarding is a simple faulttolerant distributed approach for data delivery and information querying in wireless ad hoc networks, where packets a...
Chi-Kin Chau, Prithwish Basu
IMC
2007
ACM
15 years 8 months ago
Interference map for 802.11 networks
The interference map of an 802.11 network is a collection of data structures that can help heuristics for routing, channel assignment and call admission in dense wireless networks...
Dragos Niculescu
JCIT
2010
197views more  JCIT 2010»
15 years 1 months ago
Comparative Study of M/Er/1 and M/M/1 Queuing Delay Models of the two IP-PBXs
Voice over Internet Protocol (VoIP) is a general term for a family of transmission technologies to delivery of voice communications over IP networks such as the Internet or other ...
Alireza Dehestani, Pedram Hajipour