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KDD
2009
ACM
132views Data Mining» more  KDD 2009»
14 years 9 months ago
Learning patterns in the dynamics of biological networks
Our dynamic graph-based relational mining approach has been developed to learn structural patterns in biological networks as they change over time. The analysis of dynamic network...
Chang Hun You, Lawrence B. Holder, Diane J. Cook
KDD
2009
ACM
180views Data Mining» more  KDD 2009»
14 years 9 months ago
Using graph-based metrics with empirical risk minimization to speed up active learning on networked data
Active and semi-supervised learning are important techniques when labeled data are scarce. Recently a method was suggested for combining active learning with a semi-supervised lea...
Sofus A. Macskassy
NOSSDAV
2010
Springer
14 years 1 months ago
RTP-miner: a real-time security framework for RTP fuzzing attacks
Real-time Transport Protocol (RTP) is a widely adopted standard for transmission of multimedia traffic in Internet telephony (commonly known as VoIP). Therefore, it is a hot poten...
M. Ali Akbar, Muddassar Farooq
ASSETS
2007
ACM
14 years 26 days ago
WebAnywhere: a screen reader on-the-go
People often use computers other than their own to browse the web, but blind web users are limited in where they access the web because they require specialized, expensive program...
Jeffrey P. Bigham, Craig Prince
TON
2008
139views more  TON 2008»
13 years 8 months ago
Stochastic learning solution for distributed discrete power control game in wireless data networks
Distributed power control is an important issue in wireless networks. Recently, noncooperative game theory has been applied to investigate interesting solutions to this problem. Th...
Yiping Xing, Rajarathnam Chandramouli