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» Information complexity of neural networks
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NOMS
1998
IEEE
154views Communications» more  NOMS 1998»
15 years 11 months ago
A framework for end-to-end proactive network management
Current advances in networking, computing, software and web technologies have led to an explosive growth in the development of networked applications. Management of large-scale ne...
Salim Hariri, Yoonhee Kim, K. Varshney, R. Kaminsk...
CORR
2010
Springer
82views Education» more  CORR 2010»
15 years 6 months ago
Expansion and Search in Networks
Borrowing from concepts in expander graphs, we study the expansion properties of real-world, complex networks (e.g. social networks, unstructured peer-to-peer or P2P networks) and...
Arun S. Maiya, Tanya Y. Berger-Wolf
INFOCOM
2012
IEEE
13 years 9 months ago
Locating malicious nodes for data aggregation in wireless networks
—Data aggregation, as a primitive communication task in wireless networks, can reduce the communication complexity. However, in-network aggregation usually brings an unavoidable ...
XiaoHua Xu, Qian Wang, Jiannong Cao, Peng-Jun Wan,...
BMCBI
2007
153views more  BMCBI 2007»
15 years 6 months ago
A new pairwise kernel for biological network inference with support vector machines
Background: Much recent work in bioinformatics has focused on the inference of various types of biological networks, representing gene regulation, metabolic processes, protein-pro...
Jean-Philippe Vert, Jian Qiu, William Stafford Nob...
FSKD
2006
Springer
122views Fuzzy Logic» more  FSKD 2006»
15 years 10 months ago
Context Modeling with Bayesian Network Ensemble for Recognizing Objects in Uncertain Environments
Abstract. It is difficult to understand a scene from visual information in uncertain real world. Since Bayesian network (BN) is known as good in this uncertainty, it has received s...
Seung-Bin Im, Youn-Suk Song, Sung-Bae Cho