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AMAI
2004
Springer
16 years 5 days 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
EMSOFT
2004
Springer
16 years 4 days ago
Reactive process networks
Data flow process networks are a good model of computation for streaming multimedia applications incorporating audio, video and/or graphics streams. Process networks are concurre...
Marc Geilen, Twan Basten
CCR
2004
95views more  CCR 2004»
15 years 6 months ago
A Per-Domain Behavior for circuit emulation in IP networks
Circuit networks are expensive to build, difficult to operate, fragile, and not easily scalable. Many network operators would like to carry circuit traffic as an overlay on top of...
Kathleen M. Nichols, Van Jacobson, Kedarnath Podur...
CORR
2004
Springer
133views Education» more  CORR 2004»
15 years 6 months ago
Information theory, multivariate dependence, and genetic network inference
We define the concept of dependence among multiple variables using maximum entropy techniques and introduce a graphical notation to denote the dependencies. Direct inference of in...
Ilya Nemenman
DIALM
2004
ACM
124views Algorithms» more  DIALM 2004»
16 years 5 days ago
Localized techniques for broadcasting in wireless sensor networks
We present three localized techniques for broadcasting in large scale ad hoc networks, i.e., for the problem of disseminating a message from a source node to all the nodes in the ...
Lorenzo Orecchia, Alessandro Panconesi, Chiara Pet...