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BMCBI
2010
147views more  BMCBI 2010»
15 years 7 months ago
Learning biological network using mutual information and conditional independence
Background: Biological networks offer us a new way to investigate the interactions among different components and address the biological system as a whole. In this paper, a revers...
Dong-Chul Kim, Xiaoyu Wang, Chin-Rang Yang, Jean G...
CORR
2010
Springer
177views Education» more  CORR 2010»
15 years 7 months ago
Supervised Random Walks: Predicting and Recommending Links in Social Networks
Predicting the occurrence of links is a fundamental problem in networks. In the link prediction problem we are given a snapshot of a network and would like to infer which interact...
Lars Backstrom, Jure Leskovec
ICLP
2010
Springer
15 years 10 months ago
Models for Trustworthy Service and Process Oriented Systems
Abstract. Service and process-oriented systems promise to provide more effective business and work processes and more flexible and adaptable enterprise IT systems. However, the t...
Hugo A. López
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
INFOCOM
2006
IEEE
16 years 28 days ago
Capacity-Constrained Design of Resilient Multi-Tier Wireless Mesh Networks
nts etc.), an abstract graph of the deployment area and QoS constraints to generate appropriate logical topologies. WIND starts with the set of network elements to be deployed (Nod...
R. Raghuraman, Sridhar Iyer