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ASUNAM
2010
IEEE
13 years 9 months ago
Semi-Supervised Classification of Network Data Using Very Few Labels
The goal of semi-supervised learning (SSL) methods is to reduce the amount of labeled training data required by learning from both labeled and unlabeled instances. Macskassy and Pr...
Frank Lin, William W. Cohen
CORR
2008
Springer
123views Education» more  CORR 2008»
13 years 7 months ago
Networks become navigable as nodes move and forget
Abstract. We propose a dynamic process for network evolution, aiming at explaining the emergence of the small world phenomenon, i.e., the statistical observation that any pair of i...
Augustin Chaintreau, Pierre Fraigniaud, Emmanuelle...
RECSYS
2009
ACM
14 years 1 months ago
Using a trust network to improve top-N recommendation
Top-N item recommendation is one of the important tasks of recommenders. Collaborative filtering is the most popular approach to building recommender systems which can predict ra...
Mohsen Jamali, Martin Ester
SP
2008
IEEE
103views Security Privacy» more  SP 2008»
14 years 1 months ago
Preserving Caller Anonymity in Voice-over-IP Networks
— Applications such as VoIP need to provide anonymity to clients while maintaining low latency to satisfy quality of service (QoS) requirements. Existing solutions for providing ...
Mudhakar Srivatsa, Ling Liu, Arun Iyengar
ICC
2007
IEEE
14 years 1 months ago
Speed Up Queries in Unstructured Peer-to-Peer Networks
—Unstructured peer-to-peer networks have gained a lot of popularity due to their resilience to network dynamics. The core operation in such networks is to efficiently locate res...
Zhan Zhang, Yong Tang, Shigang Chen