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» Using self-dissimilarity to quantify complexity
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SIGCOMM
2009
ACM
15 years 6 months ago
Temporal distance metrics for social network analysis
The analysis of social and technological networks has attracted a lot of attention as social networking applications and mobile sensing devices have given us a wealth of real data...
John Tang, Mirco Musolesi, Cecilia Mascolo, Vito L...
ISPASS
2006
IEEE
15 years 5 months ago
Modeling TCAM power for next generation network devices
Applications in Computer Networks often require high throughput access to large data structures for lookup and classification. Many advanced algorithms exist to speed these searc...
Banit Agrawal, Timothy Sherwood
ICCS
2003
Springer
15 years 4 months ago
Self-Organizing Hybrid Neurofuzzy Networks
Abstract. We introduce a concept of self-organizing Hybrid Neurofuzzy Networks (HNFN), a hybrid modeling architecture combining neurofuzzy (NF) and polynomial neural networks(PNN)....
Sung-Kwun Oh, Su-Chong Joo, Chang-Won Jeong, Hyun-...
SDM
2007
SIAM
131views Data Mining» more  SDM 2007»
15 years 1 months ago
Load Shedding in Classifying Multi-Source Streaming Data: A Bayes Risk Approach
In many applications, we monitor data obtained from multiple streaming sources for collective decision making. The task presents several challenges. First, data in sensor networks...
Yijian Bai, Haixun Wang, Carlo Zaniolo
BMCBI
2007
100views more  BMCBI 2007»
14 years 11 months ago
PARE: A tool for comparing protein abundance and mRNA expression data
Background: Techniques for measuring protein abundance are rapidly advancing and we are now in a situation where we anticipate many protein abundance data sets will be available i...
Eric Z. Yu, Anne E. Counterman Burba, Mark Gerstei...