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ISI
2010
Springer
15 years 5 months ago
Measuring behavioral trust in social networks
Abstract—Trust is an important yet complex and little understood dyadic relation among actors in a social network. There are many dimensions to trust; trust plays an important ro...
Sibel Adali, Robert Escriva, Mark K. Goldberg, Myk...
SIGMETRICS
2004
ACM
118views Hardware» more  SIGMETRICS 2004»
16 years 19 hour ago
A game theoretic approach to provide incentive and service differentiation in P2P networks
Traditional Peer-to-Peer (P2P) networks do not provide service differentiation and incentive for users. Consequently, users can easily access information without contributing any ...
Richard T. B. Ma, Sam C. M. Lee, John C. S. Lui, D...
ESANN
2007
15 years 8 months ago
How to process uncertainty in machine learning?
Uncertainty is a popular phenomenon in machine learning and a variety of methods to model uncertainty at different levels has been developed. The aim of this paper is to motivate ...
Barbara Hammer, Thomas Villmann
NIPS
1994
15 years 8 months ago
Catastrophic Interference in Human Motor Learning
Biological sensorimotor systems are not static maps that transform input sensory information into output motor behavior. Evidence from many lines of research suggests that their r...
Tom Brashers-Krug, Reza Shadmehr, Emanuel Todorov
COR
2008
131views more  COR 2008»
15 years 5 months ago
Queueing analysis of a server node in transaction processing middleware systems
Quantitative performance modeling of complex information systems is of immense importance for designing enterprise e-business infrastructures and applications. In this paper, we p...
Wei Xiong, Tayfur Altiok