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» An algorithmic framework for network reconstruction
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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
CISIS
2008
IEEE
15 years 6 months ago
A Study of Maximum Lifetime Routing in Sparse Sensor Networks
A major issue in wireless sensor networks is to prolong network lifetime by efficient energy management. In this paper we present an initial study of maximum lifetime routing in s...
Ewa Hansen, Mikael Nolin, Mats Björkman
BCB
2010
213views Bioinformatics» more  BCB 2010»
15 years 1 months ago
Markov clustering of protein interaction networks with improved balance and scalability
Markov Clustering (MCL) is a popular algorithm for clustering networks in bioinformatics such as protein-protein interaction networks and protein similarity networks. An important...
Venu Satuluri, Srinivasan Parthasarathy, Duygu Uca...
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...
CONEXT
2009
ACM
15 years 7 months ago
Traffic management and resource allocation in small wired/wireless networks
We consider the problem of traffic management in small networks with both wireless and wired devices, connected to the Internet through a single gateway. Examples of such networks...
Christos Gkantsidis, Thomas Karagiannis, Peter B. ...